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AI Voice Agents - The Complete Guide to Voice Chat (2025)

Nov 23, 2025
7 mins

Learn everything about an AI voice agents, its benefits, implementation tips, and the AI voice chat applications for business success.

Longer wait times, high call volumes, and language barriers in call centers often frustrate customers. Complex interactive voice response (IVR) menus only add to the problem, leading to customer dissatisfaction. That’s why companies are adopting smarter self-service solutions like artificial intelligence (AI) voice agents. In fact, experts predict the voice bot market will reach $98.2 billion by 2027, showing a clear trend toward smarter solutions to improving customer experience.

AI voice agents technology combines Natural Language Processing (NLP), machine learning, and voice recognition to transform customer interactions. It provides quicker, more efficient service and improves the overall customer experience.

In this guide, we'll explore what AI voice agents are, their key features, practical use cases, and tips on how to implement a voice agent in your business.

What is an AI voice agent?

An AI voice agent is a two-way conversational tool that communicates with the customer. It automates inbound and outbound calls without human intervention and transfers calls to a human agent when needed.

The biggest advantage? Callers can navigate an IVR by speaking naturally, without listening to long, complex menus or pressing numbers on a keypad.

Popular AI voice agent examples include Apple's Siri, Google Assistant, and Amazon's Alexa. These tools simplify interactions, provide instant answers, and automate tasks. In contrast, advanced bots like IBM’s Watson Assistant and Microsoft’s Cortana handle customer support, sales inquiries, and internal communications.

Types of AI voice agents

Here’s a breakdown of the four main types of AI voice agents and how they can benefit your business:

Rule-based AI voice agent

Rule-based voice agent use predefined sets of questions and rules to offer answers or perform tasks. Such voice agents handle routine tasks and customer FAQs. They answer all queries that fall under the if-this-then-that logic.

For example, an e-commerce site using a bot to guide customers in checking their order status or a banking site handling routine inquiries like balance checks, bill payments, transaction histories, etc.

AI-assisted voice agent

AI-assisted voice agents use machine learning and natural language to interpret conversations so they can analyze the context and grasp what the speaker means. This makes them far more capable and user-friendly than the conventional, rule-based voice agents.

Let’s suppose a user asks Alexa, 'What's the weather tomorrow?' and then follows up with, 'How about next week?' it remembers the context. This adaptability means customers don’t have to repeat themselves, creating a more contextual customer experience.

Conversational AI voice agent

Conversational voice agents make conversations using natural language. They’re more nuanced than AI-assisted voice agents as they can handle complex conversations using everyday language to create more personalized interactions.

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Google Duplex, and IBM Watson Assistant, are examples of conversational voice agents. They can make phone calls, make reservations, and handle natural conversations with a human-like tone.

Voice-activated voice agent

These bots use voice commands to answer practical questions and perform routine tasks. They are more flexible than personal voice agents that adapt to speakers and perform customized tasks.

Such bots serve as digital assistants to AI-assisted bots like Siri.

How does an AI voice agent improve customer engagement?

A customer calling your sales team wants to feel valued and understood. An AI voice agent does that. It puts the customer at the center, creating a better experience and driving business benefits as a result. Let’s understand it with a few use cases. 

Use case: Get a quick update on order status, 24/7

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Assuming the AI voice agent is integrated into your CRM, it greets the customer by name. Instead of navigating through a branched IVR to get their order status, the customer can simply say ‘order status’ and the voice bot pulls out the order details from the CRM and gives the user a real-time update within seconds.

Sheraz Ali, the Founder of HARO Links Builder states that their voice agent managed over 30% of customer interactions in one of their company projects and drastically reduced wait times.

“It also improved our response efficiency and led to a 20% increase in customer satisfaction scores and a reduction in operational costs within three months.” 

Benefits:

  • Decreased waiting time.
  • Limited IVR menu navigation.
  • No human intervention is required.
  • Quick response times.
  • Reduced business costs.
  • Tangible increase in customer satisfaction.

Use case: Improve language learning for students 

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A language learning platform uses a voice agent to provide real-time translations and personalized tutoring. So the voice agent instantly supports students in any subject by translating and clarifying complex terms in their preferred language.

Benefits:

  • Reduced requirement for multilingual staff.
  • Increases inclusivity as the bot answers in the user’s preferred language.
  • Language barriers are removed.

Use case: Improve patient outcomes in healthcare

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It's easy to miss appointments or forget to deliver prescriptions to the patient’s home timely. A healthcare service can employ a voice agent to deliver personalized care and offer preliminary health assessments, medication reminders, and easy appointment scheduling, all according to the individual patient's needs.

Benefits

  • Saves time by streamlining appointment bookings.
  • Ensures medication adherence with timely reminders.
  • Reduces workload for healthcare providers with automated support.

Use case: Streamline routine financial services 

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Once integrated with the banking system, the voice agent automates routine financial tasks, provides instant account information, processes transactions, and delivers personalized financial advice around the clock.

Benefits:

  • 24/7 access to financial services without wait times.
  • Improves customer experience with quick, accurate responses.
  • Automates routine tasks, freeing up staff for complex queries.
  • Provides personalized advice to improve financial decision-making.

Use case: Get personal shopping assistance  

Source

An e-commerce platform can use a voice agent to assist customers with product selection, provide personalized recommendations, and automate the sales process from start to finish.

Benefits:

  • Delivers a personalized shopping experience 24/7.
  • Boosts sales with customized recommendations.
  • Reduces cart abandonment by guiding customers to checkout.
  • Improves customer satisfaction with fast, accurate service.

Features of an AI voice agent

To understand why voice agents are so effective, let’s look at the key features that improve the overall customer service experience while streamlining business operations.

The best voice agents for businesses come equipped with:

Natural language understanding (NLU)

An AI voice agent understands user queries by converting speech into text using AI and NLP. It then forms an appropriate response and converts it back into speech using text-to-speech (TTS) technology. This ability to understand and respond in natural, conversational language sets AI voice agents apart from traditional IVR systems, which rely on rigid, menu-based responses.

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Personalization capabilities

Customers want quick, personalized responses to their queries, unlike complex IVR systems that frustrate them with lengthy menus. An AI voice agent offers contextual conversations, adapting to the user’s intent. It detects speech cues, skips irrelevant interactions, and also transfers calls to the right agent.

Hence, when comparing voice agents to IVRs, the bot's ability to offer personalized interactions like a human outshines communication systems that follow even the best IVR practices.

Multi-language support

AI voice agents break down language barriers, supporting multiple languages to provide a more inclusive and accessible customer experience. Businesses can easily connect with diverse customer bases across the globe.

For instance, Plivo supports speech recognition in 27 languages and their regional variants. 

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Integration with other platforms and services

AI voice agents easily integrate with platforms like customer relationship management (CRM) systems, Enterprise resource planning (ERP) tools, and ticketing software. They access and update customer data in real time to ensure accuracy.

These bots also pull relevant details, automate follow-up actions, and sync with communication channels like email or chat. This creates a personalized and consistent customer experience across all touchpoints.

Benefits of voice agents

Let’s now look at the benefits of AI voice agents.  

Enhanced user experience

Many businesses have concerns over the quality of a voice agent for customer service. However, a voice agent answers queries quickly regardless of the time of the day. Speedy, reliable answers are important to providing excellent service, making voice agents an invaluable tool for businesses looking to improve customer satisfaction.

Additionally, businesses can:

  • Handle routine queries and common tasks faster than human agents.
  • Remove the need for users to navigate complex IVR menus.
  • Manage high-volume calls without errors.

Better cost efficiency

An AI voice agent doesn’t just save time, it also saves money. It boosts user satisfaction and reduces support times by automating repetitive queries. This frees up staff for higher-value tasks, and interacting with customers after hours has improved lead conversion.

The direct benefits to businesses are:

  • Reduces the need for a larger customer support team.
  • Allows human agents to focus on complex, high-value inquiries.
  • Engages users outside business hours to boost marketing return on investment (ROI).
  • Lowers training costs and minimizes the risk of providing incorrect information.

Accessibility for users with disabilities

With over one billion people living with disabilities worldwide, voice agents make services more inclusive. They enable hands-free, accessible interactions, allowing customers with visual, motor, or cognitive impairments to engage with the business easily. This not only improves customer satisfaction but also broadens the company’s reach to a more diverse audience.

Data collection and analysis for improved services

Voice agents don’t just serve customers — they also gather insights. Use this data to analyze data and improve services, personalize marketing efforts, and make more informed business decisions.

24/7 availability

Unlike human agents, voice agents are always accessible. They ensure customers get help whenever they need it, contributing to a more consistent and reliable customer experience.

Future of AI voice technology

As IBM's data engineer, Chris Hay puts it, "We're entering an era where every mom-and-pop shop can have the same level of customer service as an enterprise." This statement captures the transformative potential of voice recognition technology.

AI voice chat applications benefit businesses of all sizes by delivering top-tier customer experiences. Tech giants are already paving the way. Microsoft has updated its Copilot AI with advanced voice capabilities, allowing it to handle complex queries with natural language reasoning, while Meta has introduced voice AI to its messaging apps.

AI voice assistants will move beyond smartphones, integrating into wearable devices like the recently unveiled Meta Orion augmented reality glasses. For businesses handling sensitive client relationships, this could mean smarter, empathetic bots that mirror the tone and approach of a human assistant.

Key upcoming trends:

  • Hyper-personalization: Customized voices and targeted recommendations.
  • Advanced problem-solving: Managing complex queries using natural language.
  • Real-time analytics: Analyzing customer tone for deeper insights.

Yet, challenges remain. Arvind Rongala, the founder of a skill-management solution provider, shares, “There are still issues, especially with data privacy and ensuring interactions are human-like. In addition to resolving problems with bias in training data and regulatory compliance, businesses must strike a balance between automation and personalization. For example, adhering to GDPR regarding the storage of voice data can be challenging, but doing so is essential to fostering trust.”

Ultimately, businesses need to prioritize data security, explore multi-device integration options, and develop stronger contextual understanding for natural interactions.

Launch an AI voice agent with Plivo

Any scaling business needs a voice agent that's easy to integrate, globally accessible, and cost-effective without sacrificing quality.

Plivo checks all these boxes, offering seamless integration, seven global points of presence for low-latency interactions, and competitive rates starting at just $0.0040 per minute. It's ideal for businesses willing to scale while keeping operational costs in check.

In fact, Plivo can reduce operational costs by up to 40%.

Moreover, its commitment to reliability is backed by a 99.99% uptime guarantee, with failover capabilities that switch within two seconds if any disruptions occur.

You can launch voice agents with Plivo using just a few lines of code.

  • Log in to your OpenAI Account: Secure your API key and RealTime API access.
  • Log in to your Plivo Account: Sign up and get a voice-enabled number.

With integration options for leading speech-to-text (STT) and TTS providers like Deepgram and ElevenLabs, you can launch AI voice agents in multiple regions, including India, using local numbers.

Use Plivo-powered voice agents for: 

  • Personal shopping assistance: Offer personalized recommendations, go through product selections, and close sales. 
  • Healthcare automation: Improve patient outcomes with medication reminders, and appointment scheduling, and offer preliminary health assessments.
  • Inclusivity in education: Break language barriers in learning with real-time translations and personalized tutoring across multiple subjects.
  • Routine financial services automation: Provide instant account information, personalized financial advice, transaction processing status, etc. to customers.

With a 24/7 AI voice agent, your business can handle these tasks around the clock, ensuring that customers are never left waiting. Want to improve customer experience with Plivo? Contact us today.

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Feb 16, 2026
5 mins

8 Best AI Voice Automation Platforms in 2026

e Automation Software for Sales & Support (2026) Meta Description: Explore the 8 best AI voice automation platforms in 2026. Compare enterprise-ready tools for sales, support, scheduling, and intelligent call handling.

8 Best AI Voice Automation Platforms in 2026

The era of "Press 1 for Sales" is effectively over. In 2026, customers expect immediate, intelligent conversation, and businesses that stick to rigid keypad menus are actively losing revenue.

Modern voice automation has evolved far beyond simple call routing. Today's best platforms enable you to deploy infinite agents that sound, think, and react like your top employees, handling complex sales objections, scheduling appointments, and resolving support tickets without a human ever picking up the phone.

But with hundreds of new tools flooding the market, finding one that actually delivers low latency and stability is a challenge. We have analyzed the top contenders to bring you the 8 platforms that are truly enterprise-ready.

Here is the list.

How to select the best AI voice automation platforms

To ensure this list serves both technical engineering teams and non-technical business owners, we evaluated eight platforms based on four critical performance metrics:

  • Latency & Human-Likeness: We prioritized platforms that minimize the "awkward pause" (sub-1000ms response times) and offer voices that capture human nuance, including the ability to handle interruptions and "barge-ins" naturally.
  • Integration Capabilities: A voice agent is only as good as the data it can access. We selected tools that offer deep, native integrations with major CRMs (HubSpot, Salesforce) or robust APIs that allow the agent to trigger complex backend actions.
  • Reliability at Scale: We looked for infrastructure capable of handling hundreds of concurrent calls without degrading audio quality or crashing, ensuring stability for high-volume campaigns.
  • Flexibility (Code vs. No-Code): We purposefully included a mix of "developer-first" APIs (for maximum control) and "no-code" visual builders (for rapid deployment) to cater to different organizational needs.

Also Read: AI Voice Agents-The Complete Guide to Voice Chat

A Quick Overview of the Best AI Voice Automation Platforms

Tool Best for What it does best Key strengths Pricing
Plivo Businesses needing reliable AI phone calls at any scale Automates real customer phone conversations across voice, SMS, and WhatsApp Owns its full telephony stack for ultra-low latency and 99.99% uptime Pay-as-you-go; Enterprise from ~$1,000/month
Bland AI Enterprises running very high call volumes Handles massive inbound and outbound call campaigns Scales concurrent calls with highly programmable logic Custom pricing (contact sales)
Vapi Developers building custom voice agents with BYOK Orchestrates STT, LLMs, and TTS with extremely low latency Model-agnostic, developer-first infrastructure Usage-based, $10 free credit
Retell AI Developers turning LLMs into voice agents fast Converts existing LLMs into real-time phone agents Industry-leading latency with minimal VoIP setup Pay-as-you-go; Enterprise available
Synthflow Agencies and non-technical teams Builds appointment booking and lead intake agents without code Visual builder with deep CRM integrations Pay-as-you-go; Enterprise tier
Poly AI Large consumer brands with complex calls Handles messy, interrupt-driven customer conversations Best-in-class speech understanding for accents and noise Custom enterprise pricing
Cognigy Enterprises with regulated contact centers Automates complex support flows with compliance controls Hybrid NLU + GenAI for safe automation Custom enterprise pricing
Talkie AI Healthcare clinics and medical offices

Top 8 AI Voice Automation Platforms

Plivo

Best for: Businesses that need to automate actual customer phone calls with high reliability and low latency, scaling from simple no-code workflows to complex, programmable enterprise solutions.

Plivo is a voice-first AI agent and cloud communications platform that distinguishes itself by owning and operating its entire telephony, messaging, and AI stack. Unlike many tools that rely on third-party carriers like Twilio, Plivo's single-stack approach significantly reduces latency and improves reliability, boasting 99.99% uptime and compliance with standards like HIPAA, GDPR, and PCI DSS. Small businesses can start quickly with its no-code builder, "Vibe," using plain English instructions, while enterprises can leverage powerful programmable APIs to build complex, multi-channel workflows that share context across voice, SMS, and WhatsApp without ever switching platforms.

Key features

  • Built-In Telephony: Native phone numbers, global connectivity, and SIP trunking without dependence on external carriers.
  • Real-Time Audio Streaming: Streams live call audio via WebSockets for low-latency speech recognition and natural turn-taking.
  • Multi-Channel AI Conversations: Extends agent logic and context across voice, SMS, and WhatsApp for consistent interactions.
  • No-Code AI Agent Builder (Vibe): Allows users to create and deploy voice agents by defining goals and workflows in plain English.
  • Programmable APIs & Integrations: Full control over workflows with well-documented APIs and webhooks to connect with CRMs and internal systems.

Pros

  • Reduced Latency: Owning the telephony infrastructure eliminates hops to third-party carriers, ensuring faster response times.
  • Production-Grade Reliability: Trusted by Fortune 500 companies with a 99.99% uptime guarantee.
  • Seamless Scalability: Start with a small no-code workflow and scale to a fully programmable production system without rebuilding.

Cons

  • Overkill for Basic Needs: Not ideal for businesses that only require a simple IVR or voicemail system with no AI logic.
  • Configuration Required: Not suited for users seeking a pre-scripted, vertical-specific agent with zero configuration.

Pricing

Plivo offers pay-as-you-go pricing on our Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.

Bland AI

Best for: Hyper-scalable, enterprise-grade automated phone calls and voice agent workflows where large call volumes and deep customization matter most.

Bland AI is a voice automation platform focused on handling both inbound and outbound phone interactions using realistic conversational AI. Built with enterprise needs in mind, it provides programmable call flows, voice synthesis, and integration hooks that let teams automate complex telephony use cases, such as sales outreach, customer support, appointment reminders, and high-volume engagement, without relying on large human call center teams.

Key features

  • Realistic, human-like voice agents capable of sustaining natural phone conversations.
  • Developer-first APIs and webhook access for custom call logic and integration with CRM/telephony systems.
  • Support for high concurrency and massive call volume automation.
  • Voice cloning and multilingual voice customization options.
  • Pathways or programmable conversation flows to define logic, routing, and call outcomes.

Pros

  • Handles large call volumes reliably without degradation
  • Strong customization through APIs and programmable logic
  • Voice quality is more natural than many competitors

Cons 

  • Steep learning curve for non-technical teams
  • Costs can escalate quickly with high usage

Pricing 

Bland AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Vapi

Best for:  Developers who want a low-latency orchestration layer to mix and match the best AI models (BYOK) for their specific needs.

Vapi is a dedicated infrastructure that glues together various AI components rather than offering a single black-box solution. It handles the difficult mechanics of voice conversation, such as turn-taking, endpointing (knowing when someone has finished speaking), and latency optimization, while allowing you to plug in any provider you want. This means you aren't locked into a specific voice model; you can use Deepgram for transcription, OpenAI for intelligence, and ElevenLabs for speech, all orchestrated seamlessly by Vapi.

Key features

  • Developer APIs and SDKs for full workflow control
  • Real-time voice orchestration with low latency (sub-600 ms)
  • Plug-and-play with multiple STT, LLM, and TTS providers
  • Support for inbound and outbound voice agents via telephony or web embeds
  • Multilingual support and customizable conversation logic

Pros

  • Allows instant swapping of LLMs, voices, or transcribers as better models hit the market
  • "Bring Your Own Key" model avoids the usage markups typical of all-in-one platforms
  • Clean, modern API with excellent documentation tailored specifically for software engineers

Cons 

  • Not beginner-friendly or no-code
  • Costs increase as external services scale

Pricing

Usage-based, pay-as-you-go pricing with a free $10 credit, plus custom enterprise plans via annual contract.

Retell AI

Best for: Developers seeking the fastest route to convert an existing LLM into a low-latency voice agent.

Retell AI is an AI voice agent platform that lets businesses build, deploy, and manage conversational phone agents that sound human, handle inbound/outbound calls, and automate routine workflows with low latency and high reliability. It combines speech-to-text, LLM intelligence, and telephony integration into a unified system for customer service, lead qualification, scheduling, and more.

Key features

  • Connects to any custom LLM backend (OpenAI, Anthropic) via WebSocket
  • Visual dashboard for testing prompts and voices without code
  • Built-in noise cancellation for clear audio transcription
  • Supports both phone numbers and web-based audio streaming
  • Detailed post-call analytics including latency breakdowns

Pros

  • Visual playground enables testing ideas in minutes
  • Industry-leading latency (often <800ms) for natural pacing
  • Removes the need to build complex VoIP infrastructure

Cons 

  • Complex logic requires hosting and managing your own server
  • Creates a dependency on their proprietary gateway

Pricing

No platform fees with pay-as-you-go usage pricing, plus a custom enterprise plan for high-volume teams.

Synthflow

Best for: Agencies and non-technical teams who need a no-code visual builder to automate appointment setting and lead intake.

Synthflow AI is a voice automation platform designed to help businesses automate inbound and outbound phone interactions using intuitive visual builders and enterprise-grade telephony. It combines speech recognition, natural language understanding, and human-like voice synthesis to create AI agents capable of handling real customer conversations at scale.

Key features

  • Visual drag-and-drop flow builder for designing conversation paths
  • Native deep integrations with GoHighLevel, HubSpot, and Zapier
  • One-click appointment booking and real-time calendar syncing
  • White-labeling capabilities allowing agencies to resell the software
  • Pre-built templates for niche industries like real estate and dental

Pros

  • Enables rapid deployment of functional agents without any coding knowledge
  • Seamlessly automates post-call tasks like updating lead status in CRMs
  • Agency-focused features simplify client management and resale
  • Huge library of templates drastically reduces setup time

Cons 

  • Lacks the granular control and flexibility of code-based solutions
  • Customizing complex backend logic beyond standard integrations is difficult

Pricing

Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.

Poly AI

Best for: Large consumer brands (restaurants, hospitality, banking) needing human-like voice assistants that handle messy, complex conversations.

PolyAI distinguishes itself by building voice assistants designed for "customer-led" conversations—meaning the caller can speak freely, interrupt, tell stories, or mumble, and the AI will still understand. Unlike developer-focused tools (like Vapi) or sales-focused tools (like Air.ai), PolyAI is a managed enterprise solution. They use proprietary speech recognition models trained specifically on billions of seconds of conversational data to handle heavy accents and background noise better than off-the-shelf models.

Key features

  • Proprietary speech recognition tuned for names, addresses, and noisy backgrounds
  • Enables free-flowing, customer-led conversations without rigid IVR menus
  • Detects frustration to trigger seamless handoffs with full context
  • Native support for 120+ languages and accents in a single assistant
  • Pre-built voice modules for hospitality, banking, and dining

Pros

  • Handles interruptions and messy speech significantly better than competitors
  • Resolves 80-90% of calls autonomously due to superior understanding
  • Managed service model eliminates hallucination risks for enterprise brands

Cons 

  • High cost makes it unsuitable for small businesses or startups
  • Closed "black box" system requiring their team for all changes

Pricing

Poly AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Cognigy

Best for: Large enterprises automating complex contact centers with a mix of precise NLU and Generative AI.

Cognigy is an enterprise-grade platform designed to sit directly on top of existing contact center infrastructure (like Genesys or Avaya). It distinguishes itself with a "Hybrid AI" approach, allowing businesses to combine rigid NLU for compliance-heavy tasks (like payments) with Generative AI for natural conversation. This ensures high-stakes customer service interactions are both fluid and strictly controlled.

Key features

  • Visual low-code flow editor for designing complex conversational logic
  • Native integration with major CCaaS platforms (Genesys, Avaya, NICE)
  • Hybrid engine combining traditional NLU with Large Language Models
  • Seamless "Agent Handover" that transfers full call context to human reps
  • Enterprise-grade security and compliance certifications (GDPR, SOC2)

Pros

  • Safely automates highly regulated enterprise processes
  • Preserves context perfectly when transferring calls to humans
  • Deep integrations with backend systems like SAP and Salesforce
  • Scales effectively to handle massive enterprise call volumes

Cons 

  • Implementation is complex and often requires professional services
  • Pricing and architecture are overkill for SMEs or simple use cases

Pricing

Cognigy does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Talkie AI

Best for: Medical clinics and healthcare providers automating patient scheduling and front-desk triage.

Talkie.ai specializes in voice assistants for the healthcare industry, serving as an intelligent virtual receptionist that handles high call volumes without human intervention. The platform focuses on simplifying patient access by autonomously managing appointment bookings, prescription refills, and routing urgent calls, while offering a user-friendly interface for non-technical staff to manage flows.

Key features

  • Specialized modules for appointment booking and patient triage
  • No-code visual builder for designing conversation scripts
  • Seamless handover to live agents for complex medical queries
  • Multi-language support to serve diverse patient populations
  • Integrations with medical scheduling systems and calendars

Pros

  • Drastically reduces front-desk workload and missed patient calls
  • Pre-trained on healthcare scenarios for better medical context understanding
  • Rapid deployment compared to general-purpose enterprise voice tools
  • Ensures 24/7 availability for patient inquiries

Cons 

  • Heavily optimized for healthcare, making it less ideal for general retail sales
  • Advanced custom integrations usually require enterprise-tier setups

Pricing

Talkie AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

How to choose an AI voice automation platform for your business

Choosing the right AI voice automation platform comes down to understanding how it will fit into your team, your workflows, and your growth plans. These questions will help you evaluate options in a practical, business-focused way.

1. Will your team need a no-code tool or a developer-first platform?

This matters because the people building and maintaining the system determine how quickly you can launch and improve it. If your team is non-technical, a no-code platform lets you move faster. If you have engineers and need deep customization, a developer-first tool gives you more flexibility long term.

2. How many calls do you need to support now and as you grow?

Call volume affects both cost and performance. A platform that works well at a small scale may become expensive or unreliable as usage increases, so it is important to choose something that can grow with your business without surprises.

3. How complex do your conversations and workflows need to be?

Some businesses only need straightforward call flows, while others require integrations, branching logic, or real-time actions. The more complex your workflows are, the more important it is to choose a platform that can handle real conversations rather than rigid scripts.

4. How important are voice quality and response speed for your use case?

Natural speech and quick responses make a big difference in how callers perceive the experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales or support.

5. Does the pricing model align with how you plan to use the platform?

Pricing structures vary widely between platforms. Understanding whether you are paying per minute, per call, or per feature helps you estimate costs accurately and avoid unexpected increases as your usage grows.

Try Plivo Free

Exploring AI voice automation should feel straightforward and low-risk. Plivo lets you start with a free trial and complimentary credits so you can test real voice automation use cases without any upfront commitment.

You can create and run AI-driven phone calls using Plivo’s visual tools or APIs, allowing you to see how automated voice interactions behave in real conditions. This includes testing inbound call handling, outbound call flows, and multi-channel automation across voice, SMS, and WhatsApp, all using your own workflows and data.

Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt AI voice automation across your business.

Start your free trial and build your first AI voice automation experience today.

Feb 16, 2026
5 mins

8 Best AI Voice Agents for Recruitment in 2026

Discover the 8 best AI voice agents for recruitment in 2026. Compare features, use cases, and pricing to automate candidate screening and hiring.

8 Best AI Voice Agents for Recruitment in 2026

Recruitment teams don’t struggle because they lack applicants. They struggle because every job post brings in hundreds of responses, many of them unqualified, and screening them all takes time recruiters don’t have.

AI voice agents help by handling the repetitive, early-stage conversations - screening candidates over the phone, asking the right questions, and routing qualified applicants forward - so recruiters can focus on real hiring decisions.

In this guide, we’ve curated the top AI voice agents for recruitment, based on what actually matters. Let’s begin.

A Quick Overview of the Top AI Voice Agents for Recruitment

Tool Best for What it does best Key strength Pricing
Plivo Recruitment teams that want to run real AI voice agents on actual phone calls End-to-end AI voice agents built on native telephony Owns telephony + AI stack, low latency, high reliability Pay-as-you-go (Professional); Enterprise starts at $1,000/month
Lindy Lean recruiting teams that want fast AI voice automation Voice agents for calls, follow-ups, and scheduling Quick setup, strong for coordination tasks Free tier available; paid plans from $49.99/month
Twilio Engineering-led teams building custom AI voice recruiters Programmable voice infrastructure Maximum flexibility and global scale Usage-based, approx. $0.008–$0.014/min
HeyMilo Staffing teams running large-scale AI interviews AI-led voice interviews with scoring Scalable, structured screening Custom pricing (sales-led)
Synthflow HR teams wanting no-code AI voice workflows Build custom voice agents visually No-code flexibility, modular flows Pay-as-you-go; Enterprise for high volume
CloudTalk Teams needing a calling platform with AI automation AI voice agents + call center tooling Strong dialing, analytics, global coverage From $25/user/month (annual billing)
Talvin Teams focused on screening and reference checks AI voice interviews + automated references Structured, qualification-first hiring $175–$750/month
Voiceflow Product-led teams that want to design and control AI voice logic Build AI agents using knowledge bases and workflows Strong conversation design and collaboration Free plan; paid from $60–$150/month

Top 8 AI Voice Agents for Recruitment

Plivo

Best for: Recruitment teams and hiring platforms that want to run real AI voice agents on actual phone calls, not demos or chat-only experiences.

Plivo is a voice-first AI agent and cloud communications platform built to automate real phone conversations at scale. Unlike many AI voice tools that depend on external telephony providers, Plivo owns and operates its telephony, messaging, and AI layers as a single stack. This gives teams more consistent call quality, lower latency, and better reliability as volume increases.

For recruitment use cases, this matters because screening calls, qualification conversations, and candidate follow-ups need to work predictably. Teams can start quickly using Plivo’s no-code AI agent builder, Vibe, and then add deeper programmable control through APIs as workflows grow more complex, without switching platforms.

Plivo is trusted by Fortune 500 companies worldwide, delivers 99.99% uptime, and complies with standards such as HIPAA, GDPR, SOC 2, PCI DSS, and STAR, making it suitable for high-volume and regulated hiring environments.

Key features

  • Build AI voice agents on real phone calls: Plivo lets teams build AI agents that answer, route, qualify, and complete conversations on inbound and outbound phone calls using its native voice infrastructure.
  • No-code AI agent builder (Vibe): Vibe allows teams to create and deploy AI voice agents using plain-English instructions. Recruiters can define goals, workflows, and actions without writing code, then iterate as hiring needs evolve.
  • Built-in telephony (not third-party): Phone numbers, global connectivity, call routing, recording, and SIP trunking are native to Plivo. This avoids reliance on external carriers and helps maintain low latency and high uptime.
  • Real-time audio streaming: Plivo streams live call audio over WebSockets to AI runtimes, enabling low-latency speech recognition and responses, natural turn-taking, and interruption handling during conversations.
  • Programmable voice and messaging APIs: Well-documented APIs and SDKs give teams full control over calls, messages, verification, number masking, and workflows, making it easy to integrate AI agents with ATSs, CRMs, and internal systems.
  • Multi-channel AI conversations: The same agent logic can run across voice, SMS, WhatsApp, and chat, with shared context across channels so candidates do not have to repeat themselves.

Pros 

  • Reliable performance at scale: Users consistently cite stability and uptime, even with high call volumes.
  • Strong telephony control: Teams value having direct ownership of routing, numbers, and call behavior.
  • Flexible for both no-code and API users: Works well for recruiters and engineering teams alike.

Cons

  • More capability than very simple use cases require: Smaller teams may not use the full platform depth.
  • Advanced workflows benefit from upfront planning: Complex agent logic requires thoughtful setup. 

Pricing

Plivo offers pay-as-you-go pricing on the Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.

Lindy 

Best for: Recruiting teams that want a flexible, AI voice agent to handle candidate calls, follow-ups, and interview scheduling without heavy engineering work.

Lindy is an AI agent platform that lets recruiters deploy voice-enabled AI assistants to manage candidate communication across phone calls, calendars, and workflows. Rather than being a pure telecom infrastructure provider, Lindy focuses on task-oriented AI agents that can talk to candidates, coordinate schedules, and take action across tools like email and calendars. This makes it especially useful for lean recruiting teams that want automation without building everything from scratch.

Key features

  • Place and receive natural-sounding phone calls with candidates for screening, follow-ups, and confirmations
  • Coordinates availability and books interviews directly on connected calendars
  • AI agents can call candidates, send emails, update records, and trigger next steps automatically
  • Connects with calendars, email, and internal tools to keep recruiting workflows in sync
  • Escalates conversations to a recruiter when the AI detects uncertainty or complex questions

Pros

  • Recruiters can launch AI voice workflows without deep technical setup
  • Especially effective for scheduling, rescheduling, and candidate follow-ups
  • Can reason across steps instead of just asking static screening questions

Cons

  • Lacks deep hiring metrics or ATS-native reporting
  • Less granular call routing and voice infrastructure control than CPaaS platforms 

Pricing

Lindy offers a free plan with 400 credits per month. Paid plans start at $49.99 per month.

Twilio 

Best for: Engineering-led recruiting teams that want to build highly customizable AI voice agents on top of enterprise-grade voice and messaging infrastructure.

Twilio is a cloud communications platform that provides programmable APIs for voice calls, SMS, and messaging. In recruitment, it’s often used as the underlying infrastructure for AI voice agents that handle candidate screening calls, interview scheduling, reminders, and follow-ups. Rather than offering ready-made recruiting agents, Twilio gives teams the building blocks to design custom voice workflows tailored to their hiring process.

Key features

  • Twilio lets you design exactly how calls are placed, routed, recorded, and escalated, giving full control over the candidate calling experience.
  • Built-in support for international phone numbers, SMS, and voice delivery makes it suitable for distributed or global hiring.
  • Twilio integrates cleanly with speech-to-text, text-to-speech, and large language models to power conversational AI agents.
  • Voice events can trigger downstream actions in ATSs, CRMs, calendars, or internal systems.

Pros

  • You’re not constrained by predefined workflows—every part of the voice experience can be tailored to your hiring process.
  • Designed to handle high call volumes with strong uptime and telecom stability.
  • Suitable for advanced or global recruiting operations where off-the-shelf tools fall short.

Cons

  • Building an AI voice recruiter with Twilio requires technical resources and ongoing development.
  • As call volume and automation increase, usage-based pricing can become expensive.

Pricing

Usage-based, pay-as-you-go pricing starting at roughly $0.008–$0.014 per minute for voice calls, with additional costs for phone numbers and advanced features.

HeyMilo

Best for: Recruiters and staffing teams that want AI-powered voice interviews and automated candidate screening at scale. 

HeyMilo is a recruitment platform built around conversational AI voice and multimedia interviewing, designed to automate candidate engagement, screening, evaluation, and structured interviews. Instead of just asking preset questions, HeyMilo’s AI adapts dynamically to candidate responses and delivers data-backed insights tailored to each role. 

Key features

  • Natural two-way spoken interviews that adapt to candidate responses and assess fit.
  • Contacts applicants via phone, web voice/video, SMS, email, and WhatsApp.
  • Provides structured interview reports and scoring to inform hiring decisions.
  • Works with existing applicant tracking and HR systems to sync data.
  • Enables interviews and outreach in multiple languages for global recruiting.

Pros

  • Can conduct hundreds of interviews simultaneously, easing burden on recruiters. 
  • Automated scoring and structured interviews help reduce manual variation. 

Cons

  • AI may struggle with very open-ended or highly contextual responses that a human interviewer would catch. 
  • Teams need to configure questions and scoring to fit specific roles and workflows. 

Pricing

HeyMilo does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Synthflow

Best for: HR departments at mid-sized companies looking to automate interview scheduling and FAQ handling.

Synthflow is a no-code conversational AI platform that lets users design, launch, and manage AI voice agents to automate phone interactions. Rather than providing a ready-made recruiter bot, Synthflow gives teams a visual builder where they can create custom voice workflows. It emphasizes flexibility and usability, making it suitable for recruiting teams that want to own their own voice agent logic without writing code.

Key features

  • You can design modular voice flows with a no-code builder where specialized "subflows" act as independent agents to manage complex logic, such as a "Verification Agent" for candidate ID or an "Appointment Agent" for booking interviews.
  • Provides enterprise-grade telephony integrations to ensure reliable inbound and outbound calling.
  • A dedicated environment to test recruitment scripts and agent responses before they go live with real candidates.
  • Offers live insights into active calls, allowing recruitment managers to track performance and candidate engagement as it happens.
  • Allows for the refinement of the AI’s underlying data to ensure the recruiter's brand voice and industry-specific terminology are accurate.

Pros

  • Teams can build and iterate voice agents without engineering resources.
  • Works for screening, candidate engagement, follow-ups, and scheduling.
  • Built to manage higher call volumes as hiring needs grow.

Cons

  • Requires manual building of hiring-focused flows and templates.
  • Deep conversational logic and integration workflows benefit from thoughtful design and testing.

Pricing

Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.

CloudTalk

Best for: Teams that need a cloud-based calling platform with AI voice agents and automation.

CloudTalk is a cloud call center platform that combines VoIP calling with AI-powered automation and voice agents. While it’s not built exclusively for recruitment, its AI voice agents, smart dialers, and call routing features make it well-suited for hiring teams that rely heavily on phone communication. Recruiters can use CloudTalk to automate outbound candidate calls, handle inbound inquiries, and track call performance through built-in analytics and conversation intelligence.

Key features

  • Virtual voice agents that can autonomously answer and place calls, handle routine interactions, and support self-serve caller experiences. 
  • Dialers, automated routing, IVR menus, and parallel dialing to manage large outbound and inbound call volumes. 
  • Local numbers in 160+ countries with VoIP calling, SMS, and messaging options. 
  • Connects with CRMs, helpdesks, and workflow systems for synced activity and inbox-to-call continuity.

Pros

  • Combines calling, campaign automation, and AI workflows in a single system. 
  • Support for international numbers and multi-region operations. 
  • Built-in conversation intelligence and analytics help teams understand patterns and coach more effectively. 

Cons

  • It’s primarily a call center and sales/support voice platform, so recruiters may need extra configuration for hiring use cases. 
  • Broad call center capabilities can overwhelm teams only seeking simple voice agent recruiting tools.

Pricing

CloudTalk offers user-based subscription plans for its core calling platform, starting at $25 per user/month when billed annually, with higher tiers adding advanced features like analytics and automation.

Talvin 

Best for: Hiring teams that want an AI voice recruiter focused on structured screening and automated reference checks, not just interview scheduling or call automation.

Talvin is an AI recruitment platform built around voice-based candidate screening and reference checks. Its AI conducts structured, conversational interviews over voice to assess communication, experience, and role fit, then follows up with automated reference calls to gather standardized feedback. Talvin is positioned less as a general-purpose voice agent and more as a screening and validation layer that helps recruiters qualify candidates before human interviews. 

Key features

  • Talvin conducts structured phone interviews to assess candidate fit early, so recruiters aren’t reviewing unqualified applicants.
  • Instead of manual follow-ups, Talvin collects reference feedback automatically and delivers it in a standardized format.
  • Interview questions and scoring are tailored to each role, keeping evaluations consistent across candidates.
  • Recruiters receive clear interview and reference reports rather than raw call recordings.

Pros

  • Designed specifically to screen and validate candidates, not just move them through a funnel.
  • Eliminates one of the most time-consuming and error-prone steps in hiring.
  • Standardized interviews and references make it easier to compare candidates objectively.

Cons

  • Not intended for outreach campaigns, scheduling-only workflows, or high-volume dialing.
  • Often paired with an ATS or sourcing platform rather than used end-to-end.

Pricing

Talvin’s plans start at $175/month and scale up to $750/month, based on interview volume and hiring needs.

VoiceFlow

Best for: Product-led recruiting teams that want to design and control the logic of AI voice conversations before deploying them on phone calls.

Voiceflow is a collaborative platform where teams design, develop, and launch AI agents using their preferred models and integrations. In practice, you build an agent by first creating a knowledge base, then adding workflows that define what the agent should do, integrating third-party tools through APIs, and finally launching the agent through Voiceflow’s web chat UI or the Dialog API.

For recruitment, this is useful when you want an agent that can answer candidate questions, guide screening conversations, and trigger workflow steps like collecting details, confirming availability, or handing off to a human, all while staying consistent with your hiring process.

Key features

  • Import documents and data so the agent answers using curated, controlled information rather than guessing.
  • Create multi-step tasks the agent can complete, so conversations can lead to actions, not just responses.
  • Connect the agent to third-party services using Voiceflow Functions and API blocks.
  • Deploy using Voiceflow’s web chat UI or build your own interface using the Dialog API.
  • Designed for teams to build and iterate together, rather than working in isolated scripts.

Pros 

  • Strong control over how screening and interview conversations are structured.
  • Teams can refine conversations without touching telephony systems.
  • Recruiters, designers, and product teams can work together on flows.

Cons 

  • Requires a telephony platform to place and receive calls.
  • Teams must design screening logic from scratch.

Pricing 

Voiceflow offers a free Starter plan, with paid plans starting at $60/month (Pro) and $150/month (Business), while Enterprise pricing is custom for high-volume teams.

Questions to ask before choosing an AI voice agent for recruitment

1. Who actually owns the calling infrastructure?

When evaluating an AI voice agent, one of the first things to understand is how calls are handled behind the scenes. Some platforms rely heavily on third-party telephony providers, while others manage their own calling infrastructure more directly.

This distinction matters because it affects call quality, routing control, and reliability as usage grows. Tools with tighter control over their telephony stack tend to behave more predictably, especially when call volume increases or issues need to be diagnosed quickly.

2. Does the agent respond quickly enough to feel natural?

Voice conversations depend on timing. Even small delays between a candidate’s response and the agent’s reply can make the interaction feel uncomfortable or disjointed.

A well-designed AI voice agent should respond promptly and consistently throughout the conversation. This usually reflects how well speech recognition, language processing, and voice generation work together in real time. If responses feel slow or uneven during a demo, that friction will likely show up even more in real recruiting scenarios.

3. Is the product actually designed for recruitment conversations?

Recruitment is not a generic use case. Screening candidates requires structured questions, follow-ups based on previous answers, and clear decision points about what happens next.

Some voice agents are flexible but require significant customization to support hiring workflows. Others are built with recruitment logic in mind from the start. The difference shows up in how easily the agent can handle screening, availability checks, and smooth handoffs to human recruiters.

4. How does it handle things going off script?

Real conversations are rarely perfect. Candidates interrupt, misunderstand questions, or give incomplete answers.

An effective AI voice agent should be able to handle these moments without breaking the experience. This includes asking for clarification, continuing the conversation naturally, or exiting gracefully when needed. Systems that cannot manage these situations tend to feel fragile in real-world use.

5. Will it still work when hiring volume increases?

Hiring needs fluctuate. A tool that performs well for a small number of calls may struggle when activity ramps up.

It is important to understand how the platform behaves under higher load, both technically and operationally. This includes call quality, reliability, and whether usage scales in a predictable way. A system that handles growth smoothly allows recruiting teams to expand outreach without introducing new problems.

Try Plivo free

Getting started with AI voice agents for recruitment doesn’t need to be complicated or risky. With Plivo, you can sign up for a free trial account and get free credits to test real AI-powered phone calls, without committing upfront or changing your existing hiring workflows.

You can experiment with live screening calls, candidate follow-ups, and interview coordination using Plivo’s no-code tools or APIs. This lets you simulate real recruiting scenarios with your own data and logic before deciding how deeply you want to scale automation across voice, SMS, and WhatsApp.

Get started with your free trial today and begin building your first AI voice agent for recruitment.

FAQs

What is an AI voice agent in recruitment?

An AI voice agent is a system that conducts phone conversations with candidates to handle tasks like screening, availability checks, and interview scheduling.

Can AI voice agents replace recruiters?

No. They are designed to support recruiters by automating repetitive early-stage tasks, not to replace human decision-making.

Are AI voice agents reliable for candidate screening?

They work well for structured, rule-based screening, but nuanced evaluation and final decisions should still be handled by humans.

What should companies look for when choosing an AI voice agent?

Key factors include call quality, response speed, recruitment-specific workflows, and the ability to scale reliably with hiring volume.

Feb 16, 2026
5 mins

Best AI Voice Agents for E-commerce (2026): Top Platforms Compared

Compare the best AI voice agents for e-commerce in 2026. See which platforms handle real calls, integrate with your stack and scale reliably.

Best AI Voice Agents for E-commerce (2026): 

Top Platforms Compared

E-commerce brands don’t lose customers because of poor products, they lose them because conversations aren’t fast enough. Buyers now expect real-time assistance for order status, delivery issues, returns and payments, often beyond business hours. 

That’s where AI voice agents help. Unlike IVRs or basic bots, modern voice agents can understand natural speech and intent, answer calls instantly, pull order data from your systems, resolve common issues and hand off to humans when needed. For e-commerce teams, this means fewer missed calls, lower support costs, and faster resolution.

This list has analysed the best AI voice agents for e-commerce in 2026, focusing on how they actually perform in production, what role they play in your stack and which types of teams they truly fit.

Platform Comparison

Top 10 AI voice agents for E-commerce (2026)

Platform Voice Handling Telephony Ownership E-commerce Integrations Multi-Channel Continuity Production Readiness
Plivo Real-time inbound & outbound Native Native + API-driven Voice, SMS, WhatsApp, chat High (built for scale)
Aircall Inbound & outbound calls Native (cloud phone system) Strong CRM/helpdesk Voice + limited messaging High
Dialpad AI Human calls with AI assist Native CRM-focused Voice-centric High
Voiceflow Voice via integrations Integrated (Twilio/Vonage) API-based Voice + chat Medium
Cognigy Enterprise contact-center voice Integrated (CCaaS partners) Enterprise systems Voice + digital channels High
Talkdesk Contact-center voice automation Native (CCaaS) Retail CX tools Voice + digital channels High
Five9 IVA IVA layered on CCaaS Native (CCaaS) Enterprise CRM Voice-first High
Kore.ai Conversational AI platform Integrated Broad enterprise Voice + chat Medium
Replicant Autonomous inbound voice Integrated Limited e-commerce depth Voice-only Medium
Ada Chat-first, voice expanding Integrated E-commerce helpdesk Chat + emerging voice Medium

Plivo

Primary Role in Your E-commerce Stack

  • Acts as a backbone for customer-facing automation across order status, delivery issues, returns, COD confirmations and payment follow-ups.
  • Replaces basic IVRs and overflow call handling with actual AI-driven conversations that feel natural and can resolve issues or escalate intelligently.
  • Serves as an AI voice agent platform and a communications layer, not just a pre-programmed bot or a basic call tool. 

How It Works in Practice

  • Runs on native, carrier-grade telephony not dependent on third-party calling plugins, thus reducing latency and call failures.
  • Supports real-time inbound and outbound voice, including barge-in, transfers, call recording and queueing.
  • Lets you build custom voice agents using no-code instructions (Vibe) or programmatically via Voice, SMS and WhatsApp APIs.
  • Handles multi-channel engagement from one platform, making it easier to maintain customer context.
  • Integrates into backend systems via webhooks and APIs, so agents can fetch order data, update CRMs, trigger refunds or log tickets.
  • Scales globally with direct carrier connectivity and 99.99% uptime, which matters during sales spikes and seasonal traffic.
  • Offers easy integrations with CRMs and data tools and e-com apps like Shopify and WooCommerce.

Smart choice if you

  • Need reliable, real-time voice automation for customer support or sales in e-commerce.
  • Need HIPAA, GDPR, PCI DSS, SOC 2 compliance.
  • Want to avoid handling different telephony, AI and messaging vendors.
  • Expect call volume spikes during promotions, launches or holidays.
  • Plan to expand beyond voice into SMS or WhatsApp without changing platforms.

Not a fit if you

  • Only want a simple chatbot or basic call routing with no backend logic.
  • Need a fully packaged, zero-configuration voice bot with no customization.
  • Don’t plan to use voice as a serious support or revenue channel.
  • Want built-in analytics dashboards without integrating your own reporting tools.

Aircall

Primary Role in Your E-commerce Stack

  • Aircall is a cloud-based business phone and customer communications platform that encapsulates voice calls, messaging, contact-center workflows and AI-powered tools to help sales and support teams manage inbound and outbound customer conversations from a single hub.
  • Designed to replace traditional desk phones and stand-alone VoIP systems with a modern unified system that supports direct calling, routing, conferencing and analytics without infrastructure.
  • Aircall’s AI Voice Agent sits within the platform to automate basic call handling, answer inbound calls using natural language, capture caller details and hand off to humans with customer context.

How It Works in Practice

  • Its AI Voice Agent can handle inbound calls 24/7, respond using natural language, capture caller details or FAQs, and escalate with context. 
  • Aircall’s broader AI tooling (often sold as an add-on) includes call summarization, transcription, sentiment analysis, action items, key topic recognition and real-time coaching insights to boost team performance and intelligence.
  • Aircall integrates deeply with CRMs and helpdesk tools such as Salesforce, HubSpot, Zendesk, Shopify, Gorgias, Intercom, Zoho, Slack and more.
  • Supports smart call routing, IVR menus, queueing, power dialers and contextual pop-ups that help agents see caller history and reduce manual steps.
  • In addition to voice calls, Aircall can connect WhatsApp messaging with your phone numbers, allowing teams to manage calls, texts, voicemails and WhatsApp messages from one unified workspace.

Smart choice if you

  • Want a cloud phone system that replaces traditional telephones and integrates voice + messaging + CRM in one place.
  • Are an SMB or mid-market team looking for easy setup and deep CRM/helpdesk integration with real-time call logging and analytics.
  • Want AI insights such as call summaries, sentiment analysis and action items tagging to support coaching and quality.

Not a fit if you

  • Are looking for standalone, autonomous voice agents that can handle complex transactional workflows (like order lookup, 2-way payment flows, or deep e-commerce logic) without human reliance. A lot of features in Aircall are paid add ons.
  • Want carrier-grade telephony control with full low-level API access. 
  • Require multi-channel unified conversational state that seamlessly moves between voice, SMS, WhatsApp, and web chat without separate configurations. Aircall integrates channels but isn’t designed as an omnichannel conversational AI platform at the same depth as standalone bot stacks.

Dialpad AI

Primary Role in Your E-commerce Stack

  • Dialpad is an AI-enhanced unified communications and contact-center platform built on VoIP telephony that combines voice calls, messaging, meeting tools and AI insights into one app.
  • Its AI layer focuses on increasing support and sales team productivity by transcribing calls, summarizing conversations, analyzing sentiment and providing live assistance to human agents rather than purely replacing them.
  • For e-commerce teams, Dialpad helps streamline customer support calls, sales conversations and agent workflows.

How It Works in Practice

  • Dialpad’s AI layer is built into its communications platform so transcription, summaries, sentiment tagging and insights happen automatically during calls and meetings. 
  • Live coaching and assist cards support tailored guidance during conversations, helping teams improve performance and consistency.
  • Its AI Agent and Generative AI features can provide answers from integrated knowledge bases and assist with repetitive tasks like scheduling or information lookups. Although this operates within a supervised environment rather than as a fully autonomous consumer voice bot.
  • Dialpad integrates with CRMs and support systems such as Salesforce, Zendesk, and others allowing call data and AI insights to sync into broader e-commerce workflows but developers/administrators need to configure these links during setup.

Smart choice if you

  • Want a combined AI-assisted communications and contact-center platform that brings voice, meetings and messaging into a single system with powerful transcription and insights.
  • Run a support or sales team that benefits from live coaching, post-call summaries, sentiment analysis, and automated QA workflows.
  • Are okay with a human-centric workflow where AI helps agents rather than fully automates customer calls end-to-end.

Not a fit if you

  • Want a standalone autonomous voice agent that handles inbound and outbound calls entirely without human support.
  • Need native telephony automation APIs for deep programmatic control or highly customized voice bots.
  • Require multi-channel conversational continuity across voice, SMS, WhatsApp and other messaging in a single automated AI experience.

Voiceflow

Primary Role in Your E-commerce Stack

  • Voiceflow is a collaborative low-code/visual AI agent platform that helps teams build and deploy custom voice and chat agents without heavy engineering. Designed to automate customer conversations from support to transactional workflows using drag-and-drop flows and business data logic.
  • Voiceflow puts the workbench in your hands, giving you control over conversational design, logic, and integrations across channels.
  • In e-commerce, Voiceflow is often used for support hotlines, FAQ automation, lead qualification, virtual assistants and prototype voice interactions especially where you want custom behavior tied to backend systems.

How It Works in Practice

  • You design conversations using a visual workflow canvas that supports branching logic, variables and external API calls making it easier to map complex dialogues.
  • Agents can be trained on your business data like product info, order records, policies via a scalable vector database.
  • Voiceflow doesn’t host telephony itself; instead it connects through providers like Twilio or Vonage so your voice agent can receive inbound calls and make outbound calls.
  • Voiceflow supports team collaboration, shared templates and component reuse so designers and developers can iterate rapidly. 

Smart choice if you

  • Want a no-code/low-code platform to design voice and chat workflows without deep engineering.
  • Need highly customized conversational logic tied to your backend systems or data.
  • Run cross-functional teams that must collaborate on agent design and iteration quickly.
  • Plan to automate support workflows, order inquiries, FAQs or lead capture across voice and chat.

Not a fit if you

  • Need out-of-the-box telephony automation with native phone infrastructure. Voiceflow relies on third-party telephony providers.
  • Want a fully autonomous voice agent that runs on phone lines without manual integration setup.
  • Require production-ready voice performance metrics or carrier-grade latency guarantees.
  • Are focused on voice only without chat or UI context.

Cognigy

Primary Role in Your E-commerce Stack

  • Enterprise grade conversational AI platform designed to automate complex customer interactions across voice, chat and messaging by building intelligent AI agents that understand, decide and resolve user intent.
  • It’s commonly used in contact centers, service automation and omnichannel workflows where customers use multiple channels (voice, text, social) and expect consistent responses.
  • For e-commerce, Cognigy helps automate service touchpoints like support conversations, order inquiries, returns handling and FAQs with AI agents that can grasp intent and navigate conversations dynamically.

How It Works in Practice

  • Cognigy uses Generative AI, NLP and machine learning to build agents that do more than keyword matching. They can reason through dialogue, recall context and pursue goals within interactions.
  • Agents can be deployed across voice calls, chat widgets, messaging and social platforms with shared logic, enabling seamless context.
  • Cognigy supports multilingual interactions supporting 100+ languages and large concurrent loads of 25K+ interactions, making it suitable for global e-commerce brands managing peak traffic.
  • Built-in dashboards and data feeds (OData) let teams monitor performance metrics, conversation flows and optimize based on real usage.

Smart choice if you

  • Need robust omnichannel AI automation across voice, chat and messaging with shared logic.
  • Operate a large, international e-commerce operation with high volume and multilingual support requirements.
  • Want enterprise-grade integration with existing contact center systems, CRM, ticketing tools and backend APIs.
  • Have a technical team or partner to configure, train and maintain sophisticated AI workflows.

Not a fit if you

  • Need a standalone plug-and-play voice bot.
  • Your priority is simple, requiring phone-only automation.
  • You want the fastest path to production with zero customization, setup and customization of NLU, dialogs and backend connections take planning and expertise.

Talkdesk

Primary Role in Your E-commerce Stack

  • Talkdesk is a cloud contact center and customer experience automation platform that helps businesses manage and optimize customer interactions across voice, chat, SMS and digital channels from one unified system. It’s a full CX automation ecosystem with AI agents layered in for intelligent self-service and agent support.
  • The platform’s core mission is to automate customer experience workflows end to end, reducing manual work and improving resolution times while keeping context and empathy in place.
  • For e-commerce teams, Talkdesk is often used to handle support hotlines, returns calls, order inquiries, live agent augmentation and self-service using both human and AI capabilities.

How It Works in Practice

  • Talkdesk’s Autopilot and AI Agents use generative AI and conversational intelligence to automate self-service across voice and other channels 24/7. They can interpret customer intent, respond naturally and escalate when needed.
  • Built-in tools like Talkdesk Navigator help with real-time routing and prioritizing inquiries based on context and integrations with CRMs and backend systems let agents retrieve and update order or customer data during automation.
  • The platform includes call monitoring, analytics, sentiment scoring and performance insights to help teams improve support quality and train agents more effectively. 

Smart choice if you

  • Need an enterprise-grade contact center platform that blends automation with human support across channels.
  • Want AI-assisted self-service and agent augmentation rather than just basic scripted bots.
  • Run support or service teams with high call volumes where routing, analytics and quality management are key.

Not a fit if you

  • Are looking for a standalone e-commerce voice bot system. Talkdesk is primarily a contact center platform with AI layers.
  • Want simple phone automation without broader CX complexity.
  • Need lightweight plug-and-play voice bots with minimal integration work.

Five9

Primary Role in Your E-commerce Stack

  • Five9 is a cloud-based contact center platform aimed at automating and optimizing customer service interactions across voice, chat, SMS and other channels. At its core, it helps brands deliver connected, personalized experiences at scale using AI and unified CX tools.
  • Its Intelligent Virtual Agent (IVA) and AI Agents are conversational automation layers that can handle self-service interactions like routine inquiries.
  • For e-commerce, Five9 is typically used to automate order status, FAQs, returns and basic support calls, functioning as shared infrastructure for AI support rather than a standalone voice-only bot.

How It Works in Practice

  • Five9’s AI Agents and Intelligent Virtual Agent (IVA) use conversational AI and natural language understanding to automate routine interactions across voice and digital channels. 
  • AI Agents combine generative AI, NLP and conversational logic to detect intent, extract key details, tap knowledge integration and deliver customized responses reducing the need for human intervention on routine issues. 
  • Five9’s IVA builder offers no-code visual workflows and templates so non-technical teams can configure self-service paths for common scenarios like order lookup, appointment scheduling and password resets.
  • Voice quality and presentation are improved with tools like Virtual Voiceover, which can generate high-fidelity, human-sounding speech prompts on the fly, including custom branded voices. 

Smart choice if you

  • Need a cloud contact center platform that can centralize voice and digital support and automate repetitive inquiries across channels.
  • Want conversational AI that blends generative responses with scripted logic and can escalate smoothly to human agents.
  • Care about multi-modal customer journeys that span across voice, chat, SMS and rich media in a unified experience.

Not a fit if you

  • Are looking for a standalone, lightweight voice‐only AI bot that you can launch with minimal integration.
  • Want to own telephony infrastructure or programmable telephony APIs. Five9 is a packaged cloud service, not a telephony-centric CPaaS.
  • Need simple DIY voice automation for a small e-commerce team without contact center context.

Kore.ai

Primary Role in Your E-commerce Stack

  • Enterprise grade conversational AI platform designed to build, deploy and manage intelligent AI agents across voice, chat and digital channels with focus on service automation, workflow orchestration and customer support experiences.
  • It supports brand-aligned, natural voice interactions capable of understanding context, interruptions and topic changes for realistic conversations.
  • For e-commerce, Kore.ai offers Retail-focused AI solutions that help deliver 24/7 self-service, answer product and order queries and assist with purchase decisions without human agents.

How It Works in Practice

  • Agents can operate on voice calls, chat, messaging apps and contact center systems while preserving conversation context across channels.
  • The platform includes a visual AI agent builder and orchestration tools, letting both business users and developers design and manage intelligent workflows.
  • Kore.ai provides a marketplace with 200+ pre-built enterprise templates to speed up deployment and reduce development time.
  • Supports deep integrations with data sources, CRM and backend systems so agents can retrieve, update and act on real business data.

Smart choice if you

  • Want a powerful, enterprise-grade conversational platform that lets you build custom, complex voice and chat automations across channels.
  • Need deep integrations with backend systems, CRM or order management data so AI can handle conditional logic in real customer workflows.
  • Have technical resources to configure, extend and govern AI agents for complex business logic.

Not a fit if you

  • Want a prebuilt, lightweight plug-and-play AI voice bot for simple e-commerce queries with minimal integration.
  • Need standalone telephony infrastructure or a voice bot you can launch in minutes without orchestration tooling.
  • Are looking for pure voice automation without multichannel context or engineered workflows.

Replicant

Primary Role in Your E-commerce Stack

  • Replicant is an enterprise-grade conversational AI platform designed to automate routine customer interactions across voice, chat and SMS. Supports worflow in high-volume support environments where call center load is heavy and manual handling slows response times.
  • Its AI agents aim to resolve inbound customer interactions autonomously using natural language understanding and context-aware dialogue to mimic human responders.
  • For e-commerce, this means it can handle order inquiries, returns, delivery status, account questions and FAQs without human agents for the bulk of interactions, freeing up seniors for complex cases. 

How It Works in Practice

  • The platform’s “Thinking Machine” uses speech recognition (ASR), natural language understanding (NLU) and agentic reasoning to interpret and act on customer speech in real time.
  • Replicant can automatically handle inbound voice calls by listening, replying, asking for follow-ups and escalating when needed, aiming to resolve up to 80% of interactions without human intervention.
  • The platform encapsulates conversation intelligence, automated Q&A along with insights into performance, turning every conversation into actionable data to offer better service quality and AI behavior over time. 
  • Replicant projects often go from pilot to production in weeks with pre-built conversational components.

Smart choice if you

  • Need 24/7 automation of high volumes of inbound customer calls and messages with a single conversational engine.
  • Have complex support workflows including returns, order changes, delivery status, account questions and need reliable voice automation without building from scratch.
  • Operate at mid-to-enterprise scale where automation can dramatically cut handling times and want to reduce load on human agents.

Not a fit if you

  • Only need lightweight or simple automation. Businesses that want a basic interactive voice bot with minimal backend integration may find Replicant overbuilt.
  • Don’t plan to integrate with existing CRM/order systems.
  • Want an extremely cheap, no-setup-required solution.

Ada

Primary Role in Your E-commerce Stack

  • Ada is an AI customer experience platform built to automate service interactions using AI customer service agents that resolve inquiries across channels such as chat, voice, email and messaging. It’s designed as an omnichannel self-service automation platform rather than a simple scripted bot. 
  • The core platform lets brands deploy AI agents that autonomously resolve questions, reducing reliance on human agents for repetitive support and freeing up teams to focus on complex e-commerce tasks.
  • Unlike narrow chatbots, Ada’s agents are built to interpret context, manage multi-step processes and handle inquiries across multiple languages and channels.  

How It Works in Practice

  • Users can build Playbooks (guided SOPs) that instruct AI how to handle specific multi-step processes at scale and refine these based on testing and feedback.
  • Supports 50+ languages and is designed so that agents learn and improve through simulations, real-world performance analysis and optimization tools. 
  • You can simulate conversations, test variations, analyze outcomes and optimize agent behavior before and after launch, giving more control over performance outcomes.
  • Though it doesn’t have telephony-native to its own, Ada provides open APIs and backend connectors for integrating CRM, order systems and e-commerce platforms to fetch and act on real customer data during interactions.

Smart choice if you

  • Want AI customer service automation across channels with the same logic and context continuity.
  • Need to reduce support costs and handle volume spikes without scaling human teams.
  • Value multilingual support and contextual reasoning above rigid script-based replies.
  • Prefer tools with visual Playbooks and optimization workflows that don’t require deep coding.

Not a fit if you

  • Want true telephony-native voice automation. Ada typically integrates with voice channels rather than running native telephony infrastructure.
  • Are looking for a simple, lightweight voice bot with minimal configuration.
  • Need ultra-low-latency, call-centric performance guarantees.

FAQs

  1. What can an AI voice agent realistically handle today?

AI voice agents can handle order status checks, delivery updates, return/refund questions, COD confirmations, appointment scheduling, basic FAQs and call routing. Complex disputes, escalations or edge cases are recommended to move to a human agent.

  1. Do I need to replace my entire support team to use AI voice agents?

No. most teams use AI voice agents as a first line of response to handle volume and after-hours calls. Human agents step in only when needed with full context delivered from the AI conversation.

  1. How hard is it to set this up for an e-commerce business?

It depends on the platform. Some tools require stitching together telephony, bots and integrations. Others provide native voice, APIs and messaging in one system. Expect anything from a few days for basic flows to a few weeks to make deep integrations.

  1. Can AI voice agents connect to my order system or CRM?

Yes, if the platform supports APIs or native integrations. This is critical for real use cases like fetching order status, logging calls or updating tickets. Without backend access, voice agents are limited to surface-level conversations.

  1. Is voice really better than chat for e-commerce support?

Voice may not be better for everything but it’s prompt and efficient for urgent issues. Customers call when orders are delayed, payments fail or something goes wrong. AI voice agents help you answer instantly instead of losing the customer to hold music. 

The Most Practical Path to Voice Automation at Scale

Most AI voice tools look impressive in demos but struggle when real customers call at high volumes. The difference comes down to infrastructure. Platforms that rely on stitched-together telephony, bots and messaging often break under load or add operational complexity.

Plivo works because it starts at the network layer. With native telephony, global carrier connectivity across 190+ countries and AI agents that run across voice, SMS, WhatsApp and chat, it’s built for real customer conversations. You can launch fast with no-code tools, integrate deeply via APIs when needed and scale on usage-based pricing without any long-term lock-ins.

If your e-commerce team wants reliable voice automation that actually works in production, not just another tool to manage, this is the most balanced and future-proof choice going into 2026.

Try Plivo Free

Getting started with Plivo is simple, quick and comes with no strings attached. You can sign up for a free trial account and get free credits to explore the platform’s voice, SMS, chat and WhatsApp capabilities before buying credits or subscribing to the platform. 

You can experiment with API calls, add phone numbers and build or test workflows using Plivo’s no-code tools helping you simulate real-life use cases like AI voice agents, automated messaging or multi-channel engagement with your own data and logic. 

Get started with your free trial now and begin building your first insurance agent today.

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Aug 30, 2024
5 mins

What is an IVR Payment? A Complete Guide for Businesses

Discover how IVR payments are transforming customer experiences across industries. Learn how they work, their key benefits, and how to choose the right IVR payment provider for your business in this comprehensive guide.

IVR

Consumer demand for always-on, instant, self-service options has changed the contact center landscape. Meeting the ever-rising expectation for connected service experiences puts pressure on contact centers to deliver an outstanding customer experience (CX). 

Giving your team the right tools to do their jobs more efficiently can help drive higher customer satisfaction and create a less stressful working environment. IVR payment services are one of those key tools. 

IVR (Interactive Voice Response) payment services are automated systems that allow customers to make payments using their phones.  This technology is no longer confined to the banking industry. Utility companies, telecom providers, contact center customer service, healthcare providers, and retailers use IVR payments. 

In this blog post, we’ll dive into IVR payments: how IVR payments work, if they’re secure for your business, and how to choose the right IVR payment provider for your business. We’ll also highlight the top five benefits of IVR payments to demonstrate that this tool can elevate the customer experience in virtually every industry. 

What is an IVR payment?

An IVR payment is a type of payment system that enables customers to make payments by phone without the assistance of an operator. Rather than speaking to an actual person, the customer goes through a recorded menu to safely key in their account number, PIN, credit card number, debit card number, or bank details on the spot.

IVR payments aim to provide a safe, effective, and easily accessible payment solution. It also integrates with payment solutions for firms that complete a high volume of transactions to avoid overworking their customer service and support teams.

IVR systems also enable organizations to collect ACH (Automated Clearing House) payments automatically.

This is particularly helpful when used for regular, routine payments, like membership fees, bills, or subscription services; this saves time and energy, minimizes the danger of delayed check/ - payments, and improves cash flow for the company.

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How do IVR payments work?

When customers reach an IVR payment system, they will hear a series of voice prompts asking for their payment details — such as their account number, payment details, and the invoice amount. The IVR system then processes the payment through ACH. This tender allows direct debit from the customer’s bank account to the business’s account.

Cloud-based IVR payments are designed to integrate seamlessly with a company’s existing phone systems, using existing lines and infrastructure. This means customers can access the payment service by calling the same number they use for other customer service needs. 

Plus, you can integrate an IVR system with your payment processors. So, when a customer enters their payment information, the IVR system securely transmits this data to the processor for authorization. This integration ensures that payments are processed faster and funds are conveniently transferred to the company’s merchant account.

This streamlined setup allows businesses to automate payment collection, reduce manual handling, and improve efficiency while offering customers a convenient and secure way to pay over the phone.

For a better understanding, here’s a step-by-step breakdown of how IVR payments work:

  • Step 1: Customer initiates the call: The process begins when a customer calls a business's dedicated IVR payment line.
  • Step 2: System greeting: The IVR system greets the caller with a recorded message, offering them options to proceed with making a payment.
  • Step 3: Selection of payment option: The customer is prompted to select the payment method option, usually by pressing a number on their phone’s keypad.
  • Step 4: Input of payment details: The system guides the customer to enter their payment details, such as a credit card number, expiration date, and security code, or bank account information for ACH payments, using the keypad.
  • Step 5: Verification: Once the details are entered, the IVR system verifies the information, ensuring that everything is accurate and complete.
  • Step 6: Confirmation: After verification, the system confirms the payment amount and asks the customer to approve the transaction.
  • Step 7: Processing the payment: The IVR system securely accepts payments and transmits the data to the payment processor for authorization.
  • Step 8: Receipt and completion: Once the payment is successfully processed, the system provides a confirmation message and may offer to send a receipt via email or text. The call is then concluded.

Four benefits of IVR payments

IVR payments have plenty of benefits, but here are four important ones for businesses considering using IVR payments.

1. It can lead to fewer late payments

One of the main advantages of using an IVR payment service is that it can significantly reduce late or bounced payments. It gives customers the flexibility to make payments on their own, anytime, anywhere — reducing the chances of missing a payment deadline. 

It becomes almost impossible for users to skip or miss payments unintentionally with ACH payments. Automatic payments made using ACH are easier and less time-consuming than writing or mailing checks. Plus, it’s usually quick and free, depending on where you bank and the type of payment transfer involved. 

2. It can increase customer satisfaction

Customers no longer need to track and remember payment deadlines or make manual transactions. IVR technology guarantees customers that their payments will be made on time. It also helps route callers to the agent most qualified to solve customer problems and reduce hold times, resulting in happier customers. 

For instance, with Plivo, you can set your call forwarding with preferred routing rules to best fit your customer needs. Forward calls to agents in different time zones to ensure round-the-clock availability, or automatically move the call to another representative if an agent doesn’t pick up after 15 seconds.  

3. It improves payment security

Often, IVR payment systems incorporate voice recognition technology—different from speech recognition—to verify an individual’s identity, adding an additional layer of security. Your customers only need to go through a pre-defined verification process and authorization before making payments via IVR. Since it’s automated, there’s a smaller margin for error than agents manually handling transactions. 

Plus, IVR systems have built-in security features like encryption and are PCI compliant, further ensuring that customer data is well protected. 

4. It can reduce operational costs

IVR payment systems are great cost-saving measures. This technology frees up your team’s time so they can focus on high value-add tasks. And, they allow your business to hire skilled employees who can handle more than just manual call routing requests. The savings can be huge given that IVR payment systems come with built-in functionality for contact centers and communications. 

Four tips for choosing the best IVR payment provider for your needs

When picking the right IVR payment provider, keep these questions in mind.

1. Is the IVR payment tool secure and compliant? 

An IVR payment system should be inherently secure and compliant with PCI DSS, especially if your business operates in a highly regulated industry like healthcare, insurance, or law. Think about factors like, whether communications are encrypted, and to what degree. Does the system meet the specific compliance requirements for your industry?

Plivo, for example, comes with advanced security features and can help you stay PCI DSS, HIPAA/HITECH, SOC 2, and GDPR compliant. We use an industry-leading platform for our payment transaction security. All credit card information is encrypted using AES-256, so we don’t store any of your customers’ sensitive information. 

We also uphold high standards with our service-level agreements to all customers, where we respond to priority one business-critical incidents around the clock, 365 days a year. We also monitor our infrastructure through two network operations centers (NOC) and security operations centers (SOC) and use third-party notification and alert systems to identify and manage threats.

This ensures you and your customers are secure. At Plivo, we believe that businesses of all sizes should get premium customer support when needed, especially given the sensitive nature of online payments. 

2. Can the IVR tool integrate and scale as your business grows?

When you sign on with an IVR payment system, you want it to easily integrate with your existing phone systems, payment systems, and CRM software. Also, consider whether the provider’s system can scale with your business. As your transaction volume grows, the IVR system should be able to handle increased demand without compromising performance.

3. Can the IVR customer experience be tailored to your needs?

Choose a provider that allows you to tailor the IVR system to fit your business needs. Whether it’s customizing call flows, payment options, or language support, the system should be adaptable to your specific requirements. 

Plivo supports responses by voice or by DTMF keypresses on customers’ phone keypads. You can set up your IVR menu for additional languages so your services are available to more customers, especially in multilingual countries. 

Another thing you should also consider is the overall user experience that the provider’s IVR system delivers. The system should be intuitive, user-friendly, and designed to make the payment process as simple and efficient as possible for both your team and customers. For example, Plivo provides easy-to-use APIs and XML that make it straightforward to create custom IVR flows, designed for your specific needs. 

4. Is the IVR system reliable with good customer support?

Check the provider’s track record for reliability and uptime. A good provider should offer a robust infrastructure with minimal downtime, ensuring that your IVR payment processing is always available for customers. 

While you’re at it, make sure you also evaluate the level of customer support offered by the provider. Look for providers that offer 24/7 support and have a reputation for responsive and knowledgeable service, which is essential if any issues arise.

Plivo: Best IVR payment service provider

Plivo’s Voice API gives you full control over your IVR system, helping you deliver exceptional customer experiences while lowering operational costs. Plivo supports over 220 countries and territories, has seven global points of presence, and has 99.99% uptime SLAs available. Plivo offers competitive advantages such as:

  • Ease of use: Plivo’s APIs and XML simplify the process of creating and managing custom IVR flows. Design complex, multi-step customer interactions without needing extensive technical expertise.
  • Flexibility: Plivo supports both voice inputs and DTMF (keypad) responses, allowing customers to interact with your IVR system in the way that’s most convenient for them, enhancing user experience.
  • Outbound IVR: Plivo enables the creation of custom IVR menus for outbound calls, which are perfect for applications like customer surveys, reminders, or voting.
  • Scalability: Plivo’s platform is built to handle large volumes of calls efficiently. With its global reach and high availability, your IVR system can scale as your business grows without compromising performance.
  • Security: Plivo offers secure cloud communication services, ensuring that your IVR system complies with industry standards like PCI DSS, GDPR, and HIPPA. This guarantees that customer data is handled securely, building trust and maintaining compliance.

Developers can easily integrate automatic speech recognition (ASR) to ensure your system responds to customers whenever and however they choose to connect. 

Setting up an IVR phone tree with Plivo is straightforward. Configure a Plivo number to interact with your web app, which will then deliver a menu and route calls based on customer input. For detailed instructions, refer to Plivo’s product documentation.

Ready to get started with IVR payments for your business? Request a trial with Plivo.

Aug 30, 2024
5 mins

The Best 13 Multifactor Authentication (MFA) Solutions for Businesses in 2025

Explore the top 13 best multifactor authentication (MFA) solutions for businesses in 2025. Compare top tools for cybersecurity, including features, pricing, and integrations, to protect your data.

Verify API

Cybersecurity is a prevalent and growing threat to businesses. However, few business owners know how many confirmed breaches are due to human error—specifically, weak or compromised passwords. This simple, effective defense mechanism is often ignored and frequently exploited by hackers and cybercriminals.

In addition to practicing strong password hygiene, one of the most powerful steps you can take to improve enterprise security and resilience is implementing multifactor authentication (MFA). 

MFA significantly increases the obstacles for any potential attackers, making the company’s accounts less appealing as a target for cyber attackers.

In this blog post, we will share how multifactor authentication works, types of MFA solutions available, features to look for in an MFA provider, highlight three critical questions to ask your MFA providers, and finally, a list of the best MFA providers.

What is multi-factor authentication (MFA)?

Multi-factor authentication (MFA) is a security process that requires users to provide two or more verification factors to gain access to an online account or application. When you sign into an account, you “authenticate” your identity by providing a username or password. Multifactor authentication requires you to provide additional verification “factors” besides your username and password.

These factors come from one or more of three different categories:

1. Something you know: This is typically your password, but it could also be a PIN, security questions, or a passphrase.   

2. Something you have: This could be a physical token, a smartphone receiving a code via SMS or an authenticator app, a security key, or a trusted device.   

3. Something you are: This involves biometrics, such as fingerprint scanning, facial recognition, voice recognition, or iris scanning.

How does MFA work? 

MFA is like adding an extra lock on your front door to keep your home safe. It’s a security measure that requires users to provide more than just a password to access their accounts.

After a user enters their password, they might need to verify their identity with something they have (like a code sent to their phone) or something they are (like a fingerprint).

This added layer of security makes it much harder for someone to break in and access a user’s account, even if they’ve somehow gotten hold of their password. It’s a smart, straightforward way to keep your information and your community safe. 

The main types of MFA solutions 

Several types of multifactor authentication solutions are available, each adding an extra layer of security to your login process.

To understand how MFA works, let’s break some of the common ways to authenticate your identity into the three main categories we previously identified: 

Something you know

This knowledge-based authentication factor could be a password, a PIN number, or the answer to a security question. This authentication factor is semi-permanent, meaning it won’t change each time you log in and must be updated manually by the user to maintain its security. 

Something you have

This type of authentication factor relies on a third party to deliver a temporary code or PIN number. Common examples include: 

1. SMS-based authentication: This is one of the simplest MFA formats. The user, after entering a password, is sent a one-time code via a text message that needs to be input to complete the login process. It's convenient but less secure if an SMS is intercepted.

2. Email-based authentication: This method delivers to the user a particular code or a link through email. The user will have to input this code or open the link to get verified. It is easy to use but suffers from the same sort of vulnerabilities as the SMS-based methods.

3. Authenticator apps: Google Authenticator, Authy, and Microsoft Authenticator are some of the applications generating time-based codes; the user inputs such a code after his or her password. These codes have a lifespan of only 30 seconds each.

4. Hardware tokens: These physical devices generate authentication codes. USB tokens, key fobs, or another piece of hardware are very secure, but not practical to keep track of or carry around. 

5. Push notifications: The user receives a push notification on their mobile device, asking if they are trying to log in. They only need to approve the request. It's easy for any user to do so.

6. Smart cards: These are physical cards with an inserted chip put into a card reader, usually combined with a PIN. It's often used in corporate environments for secure access.

Something you are

This authentication factor is inherent or unique to the user, such as a fingerprint, facial recognition, or voice. Biometric authenticators are popular on mobile devices, since they are hard to copy or duplicate.

You can mix and match these solutions depending on how much security you need and how much convenience you'd like to allow your users. The goal is to ensure that even if someone has your password, they can’t get into your account without passing that second layer of defense.

How to find the best MFA solution for your business

If you’re looking to invest in a multifactor authentication solution for your business, there are a few key factors you should keep in mind. 

Easy set-up and fast time to market

First things first: The multifactor authentication solution itself should be straightforward and easy to use, with a clear, intuitive interface—for both the team managing it and your customers. Your customers should have no trouble completing the authentication process, whether they’re using an app, SMS, or another method.

On the backend, your team should be able to easily set up and manage the authentication flow from your security management platform or authentication provider.

For example, Plivo offers a well-documented API to help you set up MFA. Plivo’s API uses standard HTTP verbs and status codes, which makes it easy to integrate into your existing systems. Whether your development team prefers Python, Ruby, Node, PHP, Java, .NET, Go, or even cURL, the setup process is consistent and streamlined. 

Rich features for better engagement 

When it comes to integrating MFA into your applications and scaling delivery globally, having the right features in place can make all the difference.

Plivo supports real-time delivery report notifications so you can track how your messages are performing globally. This gives you valuable insight into your delivery rates and understanding the effectiveness of your messaging strategy.

We also provide pre-approved templates optimized for conversions. These ready-made message templates comply with industry regulations and are designed to maximize engagement and drive conversions.

These templates can save time and effort compared to creating messages from scratch. Instead, focus on what really matters—connecting with your audience.

Built-in security and data compliance features

When you’re looking for an multifactor authentication solution provider, consider the built-in regulatory and data compliance features it offers. Look for specific fraud protection tools that can protect your customers.

Plivo, for instance, provides Fraud Shield, a powerful solution designed to help reduce the risk of fraud like SMS pumping fraud and account token takeover.

Fraud Shield provides two key features: Geo Permissions and Fraud Thresholds. Geo Permissions let you control which countries your SMS traffic can reach, blocking and not charging for messages sent to unapproved countries.

Fraud Thresholds allow you to set a limit on the number of messages sent per hour to approved countries, helping prevent issues if the limit is exceeded.

Low operational costs 

Cost is often one of the biggest concerns for companies vetting MFA tools. While there’s a wide range of tools with multiple pricing plans, it all boils down to your specific requirements and how much you use a particular service.

With Plivo, you only pay for what you use. There’s no authentication fee— we only charge for SMS and voice services. Plus, you can save even more with customized pricing and committed spend contracts tailored to your needs.

You won’t have to worry about purchasing or renting phone numbers either. Plivo’s pre-registered phone numbers are available for use without any monthly rental fees, streamlining your setup and reducing costs.

Compliance can often bring extra costs, but not with Plivo. There are no additional fees for regulatory compliance, so you can eliminate the overhead typically associated with compliance registrations.

And when it comes to protecting your messaging with Fraud Shield, there’s no extra cost involved. Plivo includes Fraud Shield at no additional charge, helping to prevent SMS pumping fraud without impacting your budget.

3 key questions to ask multifactor authentication solution providers

Ask potential partners these three questions to figure out which provider is the best fit for your MFA needs.

What authentication methods do you support?

A good MFA provider should be able to support a wide variety of authentication methods—including SMS, email, call, and hardware tokens.

The more choices you have, the more flexibility you can ultimately offer your customers. For instance, while SMS-based authentication may be easy and quick for some users, others will want to feel more secure using a method like biometrics. This is a case where more is more: the more authentication methods you can offer, the more convenience and security you can offer your customers. 

How do you guarantee data safety and compliance?

With regulations like GDPR and HIPAA in play, you need to be confident that your provider is handling sensitive information properly. Ask about their encryption standards, their storage, and what kind of certifications they have.

For example, if the provider stores any authentication data, it must be  encrypted both in transit and at rest. Ask about how they would handle a possible breach of your data and what controls are in place to prevent such a breach from happening.

Does your platform integrate with our existing tech? 

Ultimately, an MFA’s efficacy is dependent on how well it integrates with your current infrastructure. You’ll want to know how easy it is to integrate MFA with your current tech stack—whether it’s your CRM, ERP, or any custom applications you use.

Ask about their support for popular platforms and whether they offer APIs or SDKs for custom integrations. For example, is there a native integration with Salesforce, or will you need to build a custom solution? Be sure to consider SSO and other identity management tools. A provider with strong integration capabilities will help you implement MFA efficiently, saving you time and resources in the long run.

At a glance: the 11 best MFA solutions for businesses

Here’s a quick comparison of the 11 most popular MFA solutions on the market today.

MFA Solution Ratings Pricing Suitable For
Plivo G2: 4.5 out of 5 stars Pay-as-you-go model; $0 authentication fee, only SMS and Voice costs apply. Committed-spend contracts available. Ideal for developers and businesses looking for an easy, cost-effective MFA integration with no hassle for compliance management and fraud prevention.
Cisco Secure Access by Duo TrustRadius: 9.4 out of 10 stars Starts at $3 per user per month, 30-day free trial available Organizations of all sizes seeking a reliable, scalable solution to secure user access and integrate seamlessly with existing infrastructure.
Okta Adaptive MFA Gartner: 4.6 out of 5 stars Starts at $2 per user per month, 30-day free trial available Medium-sized enterprises and large corporations needing a flexible and scalable identity management solution with top-notch security management and integration capabilities.
Onelogin Workforce Identity G2: 4.5 out of 5 stars Pricing varies based on deployment and usage needs, 30-day free trial available SMBs and enterprises seeking a comprehensive workforce identity solution that includes robust MFA, SSO, and extensive app integrations.
Microsoft Entra ID G2: 4.5 out of 5 stars Part of Microsoft 365 pricing; additional charges may apply for advanced features, 30-day free trial available Organizations heavily invested in the Microsoft ecosystem, requiring seamless integration and strong security features for enhanced identity management.
IBM Secure Verify G2: 4.2 out of 5 stars Pricing for IBM Verify is based on actual usage. Organizations that are already using IBM’s suite of products, or businesses looking for a comprehensive cloud-based identity and access management solution.
Google Authenticator G2: 4.6 out of 5 stars Free Businesses on a budget, but not a true MFA solution; it should be integrated with other authentication methods to secure user accounts.
Ping Identity MFA G2: 4.4 out of 5 stars Part of the PingOne subscription service, which starts at $20,000/year Large enterprises with complex identity management requirements.
LastPass MFA G2: 4.5 out of 5 stars LastPass Business starts at €6.50 per user / month, billed annually Sole proprietors, entrepreneurs, and small businesses seeking an affordable, easy-to-implement solution that enhances security without requiring extensive IT resources.
RSA SecurID G2: 4.5 out of 5 stars Pricing not listed; contact sales team for details. Big enterprises in highly regulated industries/
Jump Cloud G2: 4.5 out of 5 Pricing starts at $9/user/mo billed annually. Small to medium sized businesses.

11 Best MFA solutions for businesses

1. Plivo

Reviews and ratings 

G2: 4.5 out of 5 stars 

Plivo is an easy-to-use, flexible option to implement communication APIs that will suit MFA. It is highly-rated for strong API documentation and great service, making Plivo a good option for developers looking for scalable solutions.

Key features 

  • Pre-approved message templates for maximum conversions
  • Support for global SMS and voice messaging
  • Real-time alerting for delivery reports
  • No need to purchase or rent any numbers; use pre-registered numbers
  • No compliance fees or extra fees for Fraud Shield

Limitations 

  • Does not support some specific advanced authentication methods, like biometric authentication.

Pricing 

  • Offers pay-as-you-go model
  • The committed-spend contracts for committed volumes help save some money

Who is it best for?

Plivo is ideal for developers and businesses that are looking for the easiest and most cost-effective way to integrate MFA into their applications, thereby avoiding hassle with compliance management and fraud prevention. 

2. Cisco Secure Access by Duo 

Reviews and ratings 

TrustRadius: 9.4 out of 10 stars

Cisco Duo is highly regarded for its comprehensive security features and ease of use, particularly for businesses of all sizes. It’s often recommended for organizations looking to build a zero-trust security framework.

Key features 

  • Almost every authentication method is supported, including biometrics.
  • Passwordless authentication with push notifications and OTP.
  • Seamless service integration with platforms like Office 365 and Fortinet.
  • FIDO2, SOC 2, and HIPAA standards are supported.

Limitations 

  • Push notification delays may happen, according to several users.
  • Certain issues with multi-device login support.

Pricing 

  • Starts at $3 per user per month
  • 30-day free trial available

Who is it best for?

Cisco Duo is ideal for organizations of all sizes, especially those looking for a reliable, scalable solution to secure user access and integrate seamlessly with existing infrastructure.

3. Okta Adaptive Multi-Factor Authentication

Reviews and ratings 

Gartner: 4.6 out of 5 stars

Okta’s MFA solution is a leader in the market, especially with its adaptive policies Okta allows better strength in security without frustrating users. It is highly favored by larger enterprises with a need for flexible and scalable identity management.

Key features 

  • Context- and behavior-aware adaptive authentication
  • Integrations with a vast number of apps and services, including AWS and Slack
  • Support for biometric authentication and the ability of users to log in without a password
  • The product complies with all major standards, including PCI DSS, HIPAA, and GDPR

Limitations 

  • Costlier than some other MFA solutions available in the market
  • Some users find the setup too complex 

Pricing 

  • Starts at $2 per user per month for businesses
  • 30-day free trial available

Who is it best for?

Okta is best for medium-sized enterprises and large corporations that are on the lookout for a fully functional identity management solution with top-notch security management and high integration capabilities.

4. Onelogin Workforce Identity 

Reviews and ratings

G2: 4.5 out of 5 stars 

OneLogin is one of the most popular MFA providers out there. It’s appreciated for its extensive app integrations and ease of use. In particular, users like OneLogin’s workforce identity and access management features deployed in the cloud or on-premises.

Key features 

  • Huge app catalog with over 6,000 integrations
  • Multiple-directory identity management synchronization
  • Adaptive MFA and SSO for internal and external users
  • User and application lifecycle management

Limitations 

  • Users sometimes complain of integration and implementation difficulties
  • Can be too complex for smaller businesses

Pricing 

  • Pricing varies according to deployment and usage needs
  • 30-day free trial available

Who is it best for?

OneLogin is a great fit for SMBs and enterprises looking for a comprehensive workforce identity solution that includes robust MFA, SSO, and extensive app integrations.

5. Microsoft Entra ID

Reviews and ratings 

G2: 4.5 out of 5 stars

Microsoft Entra ID is great for businesses that are already operating within the Microsoft 365 environment. The MFA provider is said to be relatively easy to set up and manage for enterprise businesses.

Key features 

  • Different ways of authentication from Windows Hello to FIDO2 to SMS
  • Thousands of SaaS applications and internal applications can be integrated
  • Conditional access policies dependent on the user and device risk
  • Easy to use by both the user and admin, especially in Microsoft environments

Limitations

  • Best suits organizations that offer their services through Microsoft services
  • Will ultimately require you to purchase licenses for advanced capabilities 

Pricing 

  • Part of Microsoft 365 pricing; additional charges may apply for advanced features
  • 30-day free trial available

Who is it best for?

Microsoft Entra ID is best for organizations heavily invested in the Microsoft ecosystem, offering seamless integration and strong security features that enhance the overall identity management experience.

6. IBM Verify

Reviews and ratings

G2: 4 out of 5 stars

IBM Verify provides advanced MFA and passwordless authentication, integrating with IBM's suite of security products. IBM Verify is a full identity access management solution that integrates AI in its user-friendly authentication processes. Users like that it’s intuitive and easy to log into multiple systems. 

Key features

  • Adaptive authentication uses context-aware policies to evaluate access requests based on factors like device, location, and behavior. 
  • Risk-based authentication automatically adjusts authentication requirements based on the perceived risk level of each access attempt.
  • Supports modern passwordless authentication methods, including passkeys and QR code authentication.
  • Seamlessly integrates with other IBM security products. 

Limitations

  • Users say the system is complex and difficult to set up
  • Expensive compared to other solutions on the market 
  • Multiple security flaws were discovered in IBM Security Verify Access (ISVA) 

Pricing

  • Pricing for IBM Verify is based on actual usage 
  • On AWS, pricing is based on contract duration. For instance, Verify Workforce capabilities for 100 workforce users is listed at $15,899.29/year. 

Who is it for?

IBM Verify is ideal for businesses looking for a comprehensive cloud-based identity and access management solution from a trusted vendor. Although the platform has had some security bugs, it’s the best option for any businesses already using IBM’s suite of other products. 

7. Google Authenticator

Reviews and ratings

G2: 4.6 out of 5 stars

Google App Store: 3.7 out of 5 stars

Google Authenticator is an app that generates a unique code to use during the login process in addition to a username and password. Google Authenticator can generate a verification code even without a network or cellular connection. 

Key features

  • Time-based, unique six-digit passcodes change every 30 seconds, providing a dynamic and secure authentication method. 
  • Generate passcodes locally on a device without requiring an internet connection or mobile service. 
  • Add and manage multiple accounts so you can centralize all MFA needs in one place. 

Limitations

  • Google Authenticator only provides one type of factor – something you have. This may not be sufficient security for all users. 
  • Users say the most recent update created sync issues, making it difficult to log in to their accounts. 

Pricing

  • Google Authenticator is free. 

Who is it for?

Google Authenticator is a great option for businesses on a budget. It’s easy to use and intuitive for most users. However, it’s not a true MFA solution; it should be integrated with other authentication methods to secure user accounts.

8. Ping Identity MFA

Reviews and ratings

G2: 4.4 out of 5 stars

Users say that Ping Identity’s MFA solution offers robust security with a wide range of integrations and a strong focus on enterprise needs. Ping Identity works with biometrics, OTPs, and mobile authentication to secure your business’s systems. 

Key features

  • Ping Identity supports a range of authentication options, including mobile push notifications, email OTP, SMS OTP, TOTP authenticator apps, QR codes, magic links, FIDO2-bound biometrics, and security keys
  • Ping Identity MFA is part of a larger suite of IAM tools by Ping One that can deliver enhanced security across vectors. 
  • Ping Identity MFA offers extensive policy configuration options. Administrators can create detailed MFA policies, specifying settings such as device selection methods, pairing key lifetimes, push notification limits, passcode failure limits, and lock durations. 

Limitations

  • Users say the solution is complex to set up and use
  • The interface is clunky and difficult to integrate with other tools. 

Pricing

  • MFA is part of the PingOne subscription service, which starts at $20,000/year
  • 30-day free trial available

Who is it for?

Ping Identity is best for large enterprises with complex identity management requirements. PingOne is best for businesses that need to find the right balance between security and user convenience, with support for various authentication methods including passkeys, biometrics, and push notifications.

9. LastPass MFA

Reviews and ratings

G2: 4.5 out of 5

LastPass MFA combines password management with robust MFA capabilities, offering adaptive authentication and a unified admin console. LastPass primarily caters to personal users, but also offers solutions for teams and enterprise businesses seeking to enhance their security protocols.

Key features

  • Primarily known as a password management tool, LastPass offers MFA for LastPass password vault access. 
  • The Advanced MFA add-on offers MFA for VPNs, workstations, on-premises apps, and identity providers.
  • LastPass MFA supports a wide range of authentication options, including biometric authentication, push notifications, authenticator apps, and contextual factors like location and IP address.

Limitations

  • LastPass is most popular as a password management tool for individuals, and therefore may not have as many business-focused integrations. 
  • Reviewers on G2 cite login, autofill, and security issues that arise when using the app. 

Pricing

  • 14-day free trial available. 
  • LastPass Business starts at €6.50 per user / month, billed annually

Who is it for?

LastPass is best for sole proprietors, entrepreneurs, and small businesses seeking an affordable, easy-to-implement solution that enhances security without requiring extensive IT resources. 

10. RSA SecurID

Reviews and ratings

G2: 4.5 out of 5 stars

RSA SecurID has built a long-standing reputation for strong security and a wide range of authentication methods, including hardware tokens. Like other solutions on this list, RSA SecurID is part of a full suite of IAM tools, including automated identity intelligence, authentication, access, and governance. 

Key features

  • Supports multiple authentication options, including hardware tokens, software tokens, mobile push notifications, and biometrics. 
  • Also offers temporary OTPs that can be used as MFA factors.
  • Robust protection for remote access to corporate networks, applications, and resources; good for distributed workforces.

Limitations

  • Users say the solution is expensive. 
  • In the past, RSA SecurID has had 2FA issues as well as authentication issues. 

Pricing

  • Pricing not listed; contact sales team for details. 

Who is it for?

RSA SecurID is ideal for big enterprises with strict security requirements, particularly in regulated industries.

11. JumpCloud

Reviews and ratings

G2: 4.5 out of 5

JumpCloud is a cloud-based directory platform that provides centralized identity and access management for organizations. Two features in the platform, JumpCloud MFA and JumpCloud Protect™, secure user access to applications, devices, networks, and other resources.

Key features

  • JumpCloud Protect is is the platform’s authenticator app that provides three authentication methods: OTPs, push notifications, and biometric verification. 
  • JumpCloud MFA supports a variety of authentication methods beyond JumpCloud Protect, including third party authenticators and hardware security keys. 
  • Both features are part of the larger JumpCloud IAM platform that centralizes management of users, devices, and access control. 

Limitations

  • Reviewers say the platform is missing key features or lacking technical capacity.
  • Some users think the platform has a poor user interface. 

Pricing

  • Pricing starts at  $9/user/mo billed annually. 

Who is it for?

This cloud-based directory platform with integrated MFA simplifies IT management for small to medium-sized businesses.

Take your security to the next level with a modern MFA solution provider

Regardless of the size of your customer base, MFA is one of the most fundamental security tools you can incorporate into your infrastructure. 

The use cases for it are versatile: whether it's customer logins, storing sensitive data, or accessing your internal systems, MFA provides a strong, nimble layer of security. It's critical to preventing unauthorized access, reducing breach risk, and ensuring adherence to industry regulations. Besides, MFA demonstrates to customers that you take their security seriously.

Considering the digital environment and its associated emerging risks, including MFA is not merely a desirability but a prerequisite. And with providers like Plivo, setting up MFA is pretty easy and very affordable. All businesses, regardless of their size, can provide good security without sacrificing the user experience. Be it protection of global communications, user authentication, or compliance management, Plivo's versatile features prove very handy in securing your platform effectively.

Request a trial with Plivo.

Aug 29, 2024
5 mins

Top AI Contact Center Software 2024: The Complete Guide

Transform customer service with top AI contact center software to streamline support and delight customers. Read on to learn more.

Customer Experience
Comparison

90% of modern customers anticipate seamless and engaging interactions at every touchpoint. To cater to such high levels of expectations, many customer support teams are increasingly leaning towards AI-powered platforms. 

In fact, 87% of organizations are turning to AI to provide real-time agent assistance. AI call center software uses artificial intelligence technologies to transform customer service operations across digital and voice channels. 

AI can perform a diverse range of tasks to help make customer interactions prompt and more efficient. Unlike legacy call centers that mostly rely on human agents, AI call centers leverage advanced software systems that can handle multiple tasks.

In this blog post, we'll look at the top 10 AI call center solutions and help you figure out which one might be best for your needs.

10 best AI contact center software 

S.no. Product Customer Rating Price
1 Plivo CX 4.5

(724 reviews)

Source: G2

Omnichannel plan: starts at $29 per user per month

Voice-only plan: starts at $25 per user per month

Chat-only plan: starts at $15 per use per month

2 Talkdesk 4.4

(2213 reviews)

Source: G2

CX Cloud Digital Essentials: $85 per user per month

CX Cloud Essentials: $85 per user per month

CX Cloud Elevate: $115 per user per month

CX Cloud Elite: $145 per user per month

3 Cloudtalk 4.3

(1074 reviews)

Source: G2

Starter: $25 per user per month if billed annually

Essential: $30 per user month if billed annually

Expert: $50 per user per month if billed annually

4 Calabrio 4.4

(279 reviews)

Source: G2

Available on request
5 Dialpad AI Contact Center 4.3

(238 reviews)

Source: G2

Standard: $27 per user per month ($15 if billed annually)

Pro: $35 per user per month ($25 if billed annually)

Enterprise: Custom pricing

6 CallHippo 4.4

(301 reviews)

Source: G2

Starter: $18 per user/month if billed annually

Professional: $30 per user/month if billed annually

Ultimate: $42 per user/month if billed annually

AI Add-On: $10 per user/month if billed annually

7 Aircall 4.3

(1074 reviews)

Source: G2

Essentials: $30 per license per month

Professional: $50 per license per month

8 Gong 4.7

(5742 reviews)

Source: G2

Available on request
9 Zoho Desk 4.4

(5620 reviews)

Source: G2

Free Plan: Available

Express: $7 per user per month

Standard: $14 per user per month

Professional: $23 per user per month
Enterprise: $40 per user per month

10 Balto 4.8

(446 reviews)

Source: G2

Available on request

1. Plivo CX

Best for AI-powered agent desktop features

Plivo CX is a popular AI cloud call center software built for small businesses and SMBs to offer a comprehensive omnichannel customer experience.
To make it easier for your business to give great customer service even when things get busy, Plivo CX relies on smart technology like chatbots and voice assistants to answer common questions automatically. This is a significant time-saver for CX teams in the long run. To emphasize customer experience, these AI assistants can even have personalized conversations by using information from your customer database. The system also organizes incoming messages and makes sure urgent issues get attention first. Furthermore, you can set up the AI to sound like your brand and ensure it follows your company's rules. If a customer has a tricky problem, the AI can smoothly transfer them to a human agent. 

Key features

  • Unified Agent Desktop: A single window pane to manage customer interactions across different channels like email, live chat, SMS, WhatsApp, and more
  • Built for efficiency: Makes it easier to share photos, videos, and other files with customers, offers ready-to-use message templates, and ensures everyone has the latest information instantly
  • Self-Service chatbot: Deploy a no-code, OpenAI-powered chatbot integrated with a knowledge base and smooth agent hand-off
  • Categorize and prioritize: Automatically sorts and prioritizes critical customer requests with AI capabilities
  • IVR: Take your customer experience a notch higher with an automated and configurable phone system for customer routing.
  • Workflows: Without coding, design and implement automated workflows using a visual interface, simplifying the creation of complex processes like case management, follow-ups, and notifications
  • Metrics & Reporting: Monitor KPIs, track agent efficiency, and gain insights into customer satisfaction
  • Coach your agents: Offer real-time feedback and conduct training sessions directly within the platform
  • Integration: Out-of-the-box integrations with several platforms, including Salesforce, Zendesk, and Shopify, to centralize customer information

Limitations 

  • The platform lacks features for monitoring agent performance, making it difficult to ensure quality standards and optimize workforce allocation
  • There is no mobile application available for agents, hindering their ability to access and manage tickets while on the move
  • The system might not be the best fit for handling a high volume of routine and transactional customer support inquiries

Pricing

Omnichannel (annual plans):

  • Growth: $29 per user per month
  • Business: $69 per user per month
  • Enterprise: Available on request

Voice-Only annual plans

  • Growth: $25 per user per month
  • Business: $40 per user per month
  • Enterprise: Available on request

Chat-Only annual plans

  • Growth: $15 per user per month
  • Business: $30 per user per month
  • Enterprise: Available on request

Plivo CX ratings & reviews 

  • G2: 4.5/5 (700+ reviews)
  • Capterra: 4.3/5 (80+ reviews)


2. Talkdesk

Best for versatile AI use cases

Talkdesk is a leading AI-powered contact center with features that help automate every step of the customer journey. It offers AI capabilities for diverse business applications, such as self-service, omnichannel engagement, customer experience analytics, and employee engagement. 

Key features

  • Generative AI and pre-built virtual agents for automating customer self-service for smooth 24X7 support 
  • Reveals powerful interaction analytics to improve conversations with Mood Insights, Transcription Cards, and Keyword Sensors
  • Offers Talkdesk Co-pilot that listens, guides, and assists agents during live interactions 

Limitations 

  • Some features cannot be customized by end users
  • There’s a need for more user-friendly reporting tools and customization options within the reporting section

Pricing

  • CX Cloud Digital Essentials: $85 per month
  • CX Cloud Essentials: $85 per month
     
  • CX Cloud Elevate: $115 per month
  • CX Cloud Elite: $145 per month

Talkdesk ratings and reviews

  • G2: 4.4/ 5 (2200+ reviews)
  • Capterra: 4.5/ 5 (720+ reviews)

3. Cloudtalk

Best for conversation intelligence features

As a business-calling software, Cloudtalk comes with an in-built AI-powered conversation intelligence platform. It removes the need to manually analyze calls by offering in-depth conversational insights and coaching for sales and support teams.   

Key features: 

  • Reduce after-call work with automatic call summaries and tags
  • Get in-depth business intelligence by viewing trends across different customer conversations.   
  • Use Call Scoring to evaluate agent performance

Limitations 

  • They support customer service only on voice channels.
  • There are reports of the mobile and desktop apps being glitchy

Pricing 

  • Starter: $25 per month 
  • Essential: $30 per month
  • Expert: $50 per month

Cloudtalk ratings & reviews

  • G2: 4.3/ 5 (1000+ reviews)
  • Capterra: 4.4/ 5 (260+ reviews)

4. Calabrio

Best for hyper-personalized experiences

Calabrio serves as AI software for your contact center that boosts brand loyalty and accelerates revenue generation. It is a workforce enhancement suite with enterprise-grade agent engagement and AI analytics for a complete view of agent and customer experience from a single interface.    

Key features: 

  • Records customer conversations across calls, chats, texts, emails, and tweets
  • Get nuanced insights with speech-to-text and sentiment analytics
  • Use the AI-powered Workforce Management tools to forecast volume and allocate the right agents with the appropriate skills at the right time 

 Limitations (G2)

  • The software can be complex to set up and use effectively, especially for new users.
  • Some search features could be more flexible

Pricing

Available on request

Calabrio ratings & reviews 

  • G2: 4.4/ 5 (270+ reviews)
  • Capterra: 4.5/ 5 (260+ reviews)

5. Dialpad AI Contact Center

Best for real-time agent assist

The Dialpad AI Contact Center is known for its real-time agent assist features, which are dedicated to agent coaching and enabling customer satisfaction. It comes with a range of AI capabilities that help you enhance agent performance and turn rookie agents into seasoned experts. 

Key features: 

  • Offers immediate answers to agent questions with AI Agent Assist 
  • Uses automated speech recognition software for real-time call transcription 
  • Provides call summaries with recommended action items so agents don’t need to take notes during calls 

Limitations (G2)

  • Certain features, such as voicemail setup and call routing, are not very intuitive
  • Standard customers must upgrade to at least the Pro tier to gain access to numerous integrations, which can be a barrier for smaller businesses

Pricing 

  • Standard: $27 per user per month ($15 if billed annually)
  • Pro: $35 per user per month ($25 if billed annually)
  • Enterprise: Custom pricing

Dialpad ratings & reviews 

  • G2: 4.3/ 5 (230+ reviews)
  • Capterra: 4.2/ 5 (500+ reviews)

6. Callhippo 

Best for call insights and coaching

Callhippo, known for its business phone system features, is another call center AI software that offers call insights combined with AI-powered coaching. It caters to use cases across sales, support, marketing, and operations with advanced functionality like talk-to-listen ratio, sentiment analysis, and topic extraction.

Key features:

  • Analyzes customer sentiment based on voice patterns to deliver personalized experiences
  • Identifies recurring themes and topics that offer insights into customer pain points and trends
  • Tracks conversation ratio between agents and customers for maximum loyalty and retention

Limitations (G2)

  • The app/interface is tough to use, and you don't get notifications on the dialer on the desktop/laptop interface

Pricing

  • Starter: $18 per user/month if billed annually
  • Professional: $30 per user/month if billed annually
  • Ultimate: $42 per user/month if billed annually
  • AI Add-On: $10 per user/month if billed annually

Callhippo ratings & reviews 

  • G2: 4.4/ 5 (300+ reviews)
  • Capterra: 4.3/ 5 (500+ reviews)

7. Aircall

Best for in-depth AI-powered business intelligence

Aircall is another notable business phone solution that incorporates AI contact center capabilities into its suite of features. It can sift through huge volumes of conversations for seamless call reviews and an in-depth understanding of customers’ priorities.   

Key features: 

  • Enables you to review sales pitches and coach reps 
  • Offers deeper context on deals and tickets with AI-generated insights   
  • Text transcript search for keywords and phrases across calls helps capture the essence of every conversation

Limitations 

  • Aircall's workflow designer doesn't provide the flexibility needed to design custom journeys
  • The software doesn't have its own built-in video-calling feature

Pricing

  • Essentials: $30 per license per month
  • Professional: $50 per license per month

Aircall ratings & reviews

  • G2: 4.3/ 5 (1000+ reviews)
  • Capterra: 4.3/ 5 (400+ reviews)

8. Gong

Best for AI-generated revenue intelligence

Gong.io  is an AI-based revenue intelligence solution perfect for customer service and sales teams. It gathers customer data across interactions, providing an eagle-eye view of the customer lifecycle.  

Key features

  • Offers customer service teams with data-driven recommendations and tailored coaching for account renewals
  • Helps spot churn indicators early on to prevent customers from slipping through the cracks
  • Helps forecast and close more deals with deep pipeline visibility

Limitations (Capterra)

  • It can be tricky to find particular calls using the search feature
  • People have mentioned that the transcripts aren't always accurate, especially when there are accents or dialects involved

Kustomer ratings & reviews

  • Capterra: 4.8/ 5 (500+ reviews)
  • G2: 4.7/ 5 (5700+ reviews)

Pricing

Custom Pricing

9. Zoho Desk 

Best for combining agent and AI capabilities

Zoho Desk is an AI contact center solution dedicated to swift query resolution. It deploys powerful features and comes with an AI-powered chatbot called Zia, which responds to customer requests with appropriate solutions by tapping into the sentiment behind each ticket. 

Key features

  • Helps frame contextualized responses to tickets based on customer sentiment 
  • Aids agents in drafting accurate responses to customers based on ticket content and information from the knowledge base 
  • Tracks team performance 24/7 and alerts teams in case of surges in incoming tickets  

Limitations (G2)

  • Some features that companies would regard as essential may only be accessible on the top-tier plans
  • Advanced features and customization options can be complex and have a steep learning curve

Zoho Desk ratings & reviews 

  • Capterra: 4.5/ 5 (2100+ reviews)
  • G2: 4.4/ 5 (5600+ reviews)

Pricing

  • Standard: $9.76 per month 
  • Professional: $17.07 per month 
  • Enterprise: $29.27  per month 

10. Balto

Best for capturing customer behavior in real-time 

Balto is an AI call center that helps agents retain customers and convert leads right when it matters, that is, in real time. With features like Dynamic Prompts, notifications, and real-time QA scores, Balto equips customer experience teams with everything they need to make a positive impression. 

Key features

  • Surfaces key questions and phrases for agents during customer calls
  • Sends notifications to agents to spot and course correct where needed 
  • Helps spot the real cause of low call quality by analyzing and scoring 100% of calls 

Limitations (Source)

  • Balto has been reported to experience connectivity issues, with instances of the software not working properly during calls or failing to load or reconnect
  • There have been complaints regarding Balto's speech recognition capabilities, with some finding it inaccurate and prone to misinterpreting words

Pricing

Available on request 

Balto Service Rating and Reviews

  • G2: 4.8/ 5 (400+ reviews)
  • Capterra: 4.4/ 5 (10 reviews)

Essential AI contact center software features

These are the key features to look for when choosing a contact center AI software: 

AI chatbots 

AI chatbots are AI call center agents that simulate human-like conversations with customers. These typically work via web chat or text chat programs, leveraging natural language processing (NLP) and machine learning to comprehend and respond to customer queries in real time. AI chatbots can handle basic queries like resetting passwords and answering FAQs from customers, while human agents focus on deeper business problems. AI chatbots bring easy, always-on accessibility to your business and can easily scale without affecting your budget. 

Conversation intelligence 

This AI call center technology deploys machine learning and AI to analyze customer conversations to derive customer insights, perform sentiment analysis, and improve agent performance. Conversation intelligence software helps transcribe, evaluate, and extract insights from every interaction. Conversation intelligence equips agents with the context and insights needed to understand and serve customers efficiently. These insights remove operational inefficiencies and foster higher customer satisfaction. 

Intelligent call routing 

Also known as Automated Call Distribution Systems, intelligent call routing automatically directs calls to specific agents or departments. It uses predefined criteria, such as skill-defined routing, round-robin, or first available agent, to distribute phone calls among team members. In a busy call center, intelligent call routing is a huge plus because customer queries are directly forwarded to the right agent, significantly reducing waiting times for resolution. For agents, this means efficient utilization of their time and smooth handling of huge call volumes. 

Real-time call monitoring, live coaching, and barging

To ensure compliance and consistency across communication channels, customer service team leaders and managers can listen in on live calls and even jump into conversations if needed. In sensitive, high-impact conversations, the manager may join the call and speak directly to the customer. This not only provides an objective basis for performance reviews but also helps flag any deviations or potential compliance issues.

Predictive analytics

Predictive analytics is an AI call center feature that helps forecast future outcomes. This helps call centers prepare more effectively for peak call volumes and allocate resources more efficiently. Predictive analytics also offers insights into customer needs and preferences to offer a more personalized and effective experience. These insights are crucial in helping teams frame strategies to counter customer churn and build agile teams that can adapt quickly to ever-evolving customer needs.

Voice bots

Like AI chatbots, voice bots allow you to offer round-the-clock support across time zones and geographies. Customers can interact with the virtual assistant through keypad inputs or voice commands. Aside from greeting and guiding incoming callers, AI-powered voice bots can handle basic questions and queries like account balance, FAQs, and order statuses. Voice bots are no longer a nice feature but a must-have in modern call centers that help boost first-touch resolution. 

Opt for the leading AI call center solution for your business 

AI-powered contact center technology is a must-have for modern customer service. It improves customer loyalty and agent productivity, leading to a better overall customer experience.

If you are looking for an AI-powered call center software that maximizes agent productivity, try out Plivo CX.  With its comprehensive, unified platform for streamlining customer interactions across multiple channels, this solution empowers you to handle high-query volumes while avoiding agent burnouts. 

Its AI-powered features, such as self-service chatbots, ticket categorization and prioritization, and real-time agent coaching enhance both customer experience and agent performance, ensuring that your team is equipped to handle inquiries efficiently. Book a demo or contact us to learn more

Aug 29, 2024
5 mins

The Future Now: AI's Impact on Customer Experience

Explore Plivo CX's insights into AI's evolving impact on customer experience in 2024. Discover ways to enhance customer satisfaction and drive business success

Customer Experience

According to many experts, customer experience (CX) is at a paradoxical crossroads: soaring to new heights while plummeting to unprecedented lows. 

Forrester Research's June 2024 study revealed an alarming decline in CX quality, with brands struggling across key dimensions like effectiveness, ease, and emotional connection. Meanwhile, the American Customer Satisfaction Index (ACSI) reported record-high satisfaction levels.

On the other hand, McKinsey reveals that 93% of companies rely on survey-based metrics, and only 15% of leaders are satisfied with their effectiveness.

So, the challenges of low response rates, data delays, ambiguous performance drivers, and weak financial connections are hindering businesses from fully comprehending the complete spectrum of customer interactions and enhancing their CX.  

However, there is a way to bridge this gap—Artificial Intelligence (AI) is redefining cx by enabling businesses to provide personalized, efficient, and proactive service. 

This blog post will explore how AI can help you enhance your CX strategy, boost customer satisfaction, and drive your business growth forward.

Understanding AI’s impact on customer experience 

A decade ago, excellent cx meant optimizing touchpoints and crafting desirable products. Fast forward to today, and AI technologies are transforming this landscape, setting new standards for personalization and engagement.

Many people think of AI as frustrating chatbots, but modern AI tools are far more advanced. AI now includes sophisticated sentiment analysis and virtual assistants that reduce friction and foster meaningful interactions.

Aspect Traditional Customer Service AI-Powered Customer Service
Scalability Limited by human resource capacity Highly scalable, capable of handling large volumes of queries simultaneously
Personalization Relies on agent training and experience Uses data analytics to personalize interactions based on customer history and preferences
24/7 Availability Limited to operational hours Highly scalable, capable of handling large volumes of queries simultaneously
Cost Efficiency Higher operational costs due to human resource requirements Potentially lower costs by automating routine tasks
Customer Satisfaction Relies heavily on agent empathy and communication skills Enhances satisfaction through quick, accurate responses and personalized recommendations
Integration with Other Systems Requires manual data entry and coordination Integrates seamlessly with CRM systems and other platforms

Often scattered across platforms and departments, customer data can now be unified through AI. Tools like Natural Language Processing (NLP) and Natural Language Understanding (NLU) enable customer service teams to instantly gauge sentiment, emotion, and intent, allowing them to anticipate needs and respond with precision. 

Therefore, the integration of AI into cx is not just about keeping pace with technological advancements; it’s more about creating a future where every customer interaction is seamless, personalized, and impactful.

5 ways AI will improve customer experience 

#1 Power of predictive analytics and proactive service

Proactive service through predictive analytics is reshaping cx across various sectors. This involves leveraging diverse customer data from multiple sources to enhance efficiency and strengthen relationships through proactive care.

Predictive AI applications analyze customer behaviors and historical data to anticipate needs and issues before they occur. This allows businesses to offer preemptive solutions and personalized recommendations, preventing problems from escalating. 

Additionally, the strategic deployment of AI-powered chatbots in high-traffic areas enhances CX by quickly addressing common inquiries and providing valuable assistance. This proactive approach not only boosts customer satisfaction but also demonstrates a commitment to seamless service delivery.

Therefore, integrating predictive analytics and AI enables businesses to anticipate customer needs, improve operational efficiency, and foster long-term customer loyalty. 

#2 Mastering omnichannel experiences for customers

Leading analysts at Gartner predict that by 2025, customer service organizations integrating AI solutions into their multi-channel platforms will see a remarkable 25% boost in operational efficiency.  With customers increasingly embracing digital platforms like social media, agents struggle to manage call volumes. 

Advanced omnichannel solutions provide agents with the tools and contextual data needed to adapt to customer preferences seamlessly. Additionally, today's conversational AI has significantly improved, extending self-service beyond traditional IVR menus. Although not flawless, modern chatbots are increasingly effective but can't handle all inquiries end-to-end. 

AI can enhance this by enabling smooth transitions from self-service to live agents at the right moment. This ensures personalized assistance without delays, driving CX excellence.

#3 AI-powered automation and efficiency in operations

Agents often get bogged down by repetitive tasks, causing inefficiency and potential burnout. AI tools like chatbots and intelligent routing systems can transform this dynamic by automating routine inquiries and directing complex issues to the right agents. 

For example, a telecommunications company can use AI to handle common queries about bill payments and service disruptions, freeing up agents to address more complex customer concerns and enhancing overall service quality and employee morale. 

This accelerates response times, allowing agents to focus on more meaningful tasks. Businesses can significantly boost productivity and job satisfaction by relieving agents from monotonous duties. 

#4 Agent training and knowledge optimization 

The speed at which new agents become proficient and the consistency of service provided by experienced agents are pivotal for a business's success. Integrating AI-powered tools empowers agents to excel in their roles and elevate customer satisfaction. 

With well-designed knowledge bases, AI can instantly provide agents with relevant help articles and resources, enabling quick and informed resolution of customer issues. AI can also offer personalized responses to customer inquiries based on their unique interaction history and current context, ensuring every interaction feels personalized and efficient. 

Moreover, intuitive systems like Unified agent desktops can offer all customer issues and their context in one place, which is especially helpful when handling queries from diverse channels, including WhatsApp, email, SMS and live chat. 

These AI-driven capabilities streamline operations by reducing handle times and enhancing resolution rates, contributing to a significant improvement in customer satisfaction. 

#5 Amplifying customer feedback with AI-based sentiment analysis

Businesses are increasingly turning to sentiment analysis as a pivotal tool. Leveraging advancements in technology, particularly through audio streaming, call centers can now extract profound insights from raw audio data. 

This capability allows for the implementation of sophisticated sentiment analysis and speech recognition, transforming unstructured voice data into actionable intelligence. By harnessing AI-driven sentiment analysis, organizations gain real-time insights into customer sentiments. 

Analyzing voice-related data enables businesses to discern patterns, identify trends, and interpret emotional cues effectively. These insights are instrumental in enhancing operational efficiency and refining customer interactions to meet evolving expectations.

3 real-world examples of AI-powered customer services

Myntra: Personalizing Fashion Discovery with MyFashionGPT

Myntra, a leader in online fashion retail owned by Walmart, introduced MyFashionGPT powered by ChatGPT. This innovative feature transformed how customers shop by enabling natural language queries and personalized recommendations. 

MyFashionGPT interprets their preferences and offers a diverse selection of products, ensuring an engaging and personalized shopping journey. Customers can effortlessly complete desired looks with tailored suggestions, making fashion discovery intuitive and enjoyable.

How this works: 

  • Enhanced product discovery

MyFashionGPT allows customers to make natural language queries, facilitating the seamless exploration of fashion items across various categories.

  • Personalized recommendations: 

It interprets sophisticated fashion preferences and suggests products aligned with global trends, enhancing the shopping experience.

AirHelp: traveler assistance with AI

AirHelp, which is known for aiding millions affected by flight delays and cancellations, leverages AI to streamline customer support operations. It ensures efficient and personalized assistance, meeting the urgent needs of travelers worldwide through proactive crisis monitoring and swift resolution.

How this works: 

  • Efficient query management: 

AI automates the collection and prioritization of customer queries across multiple channels, including social media.

  • Swift response times: 

The AirHelp chatbot reduces average response times by up to 65%, ensuring timely assistance for travelers facing flight disruptions.

  • Crisis monitoring: 

It monitors social media in multiple languages for crisis-related terms, alerting customer service teams promptly for immediate action.

Axis Bank: voice-based banking 

Axis Bank makes banking easy by integrating Voice AI with its customer service. This technology allows customers to manage their banking needs conveniently and securely through voice commands, freeing up human resources for more complex inquiries. 

How this works: 

  • Convenient banking solutions: 

Customers can perform banking tasks such as checking balances, blocking cards, and ordering checkbooks using voice commands through Alexa devices.

  • Reduced call center dependency: 

Voice AI reduces strain on call center resources by automating routine inquiries and transactions.

The future of customer experience is AI

According to Gartner, digital customer service, conversational user interfaces, and generative AI are set to transform customer service and support strategies. By 2025, it's predicted that 80% of customer service organizations will employ generative AI to enhance agent productivity and cx. 

Advanced AI chatbots and virtual assistants will handle issues predictably and mimic human interactions, improving customer satisfaction, as highlighted by McKinsey. 

AI-driven real-time decision-making will allow businesses to adjust strategies based on immediate feedback. Meeting customer needs with exceptional speed and precision. These advancements will set a new benchmark of excellence in cx.

Experience the transformative power of AI 

Looking ahead, AI will continue to play a pivotal role in refining customer interactions, driving efficiency, and ultimately, elevating satisfaction levels. Embracing these innovations isn't just about meeting current expectations—it's about redefining what exceptional customer service looks like in the digital age. 

As an all-in-one customer service platform driven by AI, Plivo CX remains at the forefront of this transformation. Here’s how it can help you:

  • Provide customer service everywhere: Use one tool to handle customer questions from email, voice, SMS, WhatsApp, and live chat.
  • Smart chatbots for 24/7 help: leverage AI-powered chatbots to answer even tricky questions anytime, day or night. Facilitate easy handover in case of complicated queries.
  • IVR: Optimize caller journeys with intuitive IVR menus and deliver personalized experiences through data-driven voice prompts.
  • Connect all your tools: Plivo CX works with your existing systems (like CRM or helpdesk), so you have all your customer information in one place.
  • Automate customer journeys easily: Create automated workflows (like welcome messages or follow-ups) across different communication channels without needing to code.
  • Track and improve: See how customers interact with you and get their feedback in real time so you can adjust your responses.
  • Coach your team: Features like call recording, barge, and whisper let you listen in and help your agents during calls.

If you're ready to elevate your customer service to new heights, consider exploring how Plivo CX can help you achieve these goals.

Scheduling a demo with us today!

Aug 29, 2024
5 mins

How to Improve Customer Service Efficiency

Discover practical solutions to streamline customer service processes, reduce resolution times, and boost satisfaction. Our comprehensive article offers winning tips to help you enhance efficiency and effectively manage customer inquiries

Customer Satisfaction

Scenario 1:

I called the telecom customer service and was warmly greeted by a cheerful representative. We chatted pleasantly, and I felt comfortable, but when I described my issue, they seemed unsure, and it took over an hour to resolve. Eventually, I was transferred to a more knowledgeable team member.


Scenario 2:

I contacted customer service and quickly reached an expert who immediately understood my issue. Within 15 minutes, they efficiently guided me through the solution and resolved the problem.

Which experience would you prefer as a customer? The winner is obvious. 

Likewise, your customers may find friendly interactions valuable, but often, the real measure of excellence is the efficiency and competence of the customer service team. Strategically enhancing support strategies boosts customer satisfaction, improves retention, and strengthens business performance.

In this blog post, we’ll analyze how to elevate customer service efficiency to enhance satisfaction and retention.

Why stellar customer service is non-negotiable

Time is the most critical parameter for customers when assessing the quality of your customer service.  

Imagine waiting fifteen hours before being told your request was denied due to an error.  Frustrating, right?  Although the company eventually resolved the customer’s issue after calling back, the company had no record of his marathon call.

Here’s another example where a customer posted about the ordeal of struggling for two months, which raised an escalation after much effort. Even after that, the support team didn’t resolve the issue and continued stalling the customer for six months without any solution.

There are many such examples of terrible customer experiences. Also, Deloitte’s research reveals that brands focused on customer experience are 60% more profitable. So, the point is clear: this shift in perspective shows that increasing investments in customer service efficiency isn't just an expense but a key factor in driving revenue and enhancing profitability.

Efficiency Aspects Exceptional Customer Service Mediocre Customer Service
Response Time Quick and efficient, issues are resolved promptly Slow response, long wait times for resolution
Knowledge Representatives are well-trained and knowledgeable Representatives lack knowledge and often need to escalate
Problem-Solving Issues addressed accurately and effectively Frequent mistakes and unresolved issues
Customer Interaction Friendly yet focused on resolving the issue Friendly but inefficient, leading to long interaction times
Feedback Implementation Actively listens to and acts on customer feedback Ignores or slowly responds to customer feedback
Consistency Consistent service quality across all platforms Inconsistent service, varies by representative or channel
Personalization Tailored solutions based on individual customer needs Generic solutions, lack of personalization
Agent Interface Clear, user-friendly, and intuitive Complicated and confusing interfaces
Proactive Service Anticipates issues and addresses them before they escalate This reactive approach only addresses issues when raised
Overall Customer Satisfaction High satisfaction, fosters loyalty and positive reviews Low satisfaction, leads to customer frustration and churn

In essence, customer service efficiency is critical as it influences various key business outcomes:

  • Cost reduction: Efficient customer service allows you to handle more inquiries with fewer agents, significantly cutting operational costs.
  • Enhanced customer experience: By maintaining low wait times and providing accurate responses, you improve overall customer satisfaction and service quality.
  • Increased brand loyalty: Efficient service boosts customer satisfaction, leading to stronger brand loyalty and positive social proof, which can attract new customers.

What is customer service efficiency?

Improving customer service efficiency is all about making things better for both the customer and the company. By streamlining interactions, businesses can provide quicker and more helpful responses. 

Here’s what that looks like:

  • Quicker help for customers: When processes are efficient, customers get the help they need faster, which makes them happier.
  • Easier work for customer reps: Cutting out unnecessary steps means customer service reps can handle their work more easily and feel less stressed.
  • Consistent quality: Good systems ensure that customers always get the same high level of service, meeting or exceeding their expectations every time.
  • Proactive solutions: Efficient customer service can spot potential issues early and solve them before they become big problems.
  • Growth without growing pains: Efficient processes allow customer service to expand smoothly, keeping up with growth without losing quality.
  • Smart use of resources: By using resources wisely, businesses can invest in better training and technology to further improve customer service.

The key is balancing efficiency with quality. True efficiency means improving processes while still providing the excellent support customers expect. Companies that master this balance can stand out, attracting and keeping more customers.

Customer service metrics that matter

Efficiency metrics are more than just numbers—they are the lifeblood of exceptional customer interactions. Businesses can transform customer service from a routine operation into a strategic advantage, enhancing customer loyalty, fostering positive brand perceptions, and driving sustained business growth. 

Prioritizing these aspects ensures that every customer interaction meets and exceeds expectations, paving the way for a reputation based on efficiency and excellence.

  • Average Time to Resolution tells the story of how swiftly issues are tackled, directly influencing customer satisfaction and trust. 
  • Average Response Time reflects how quickly a business engages with customers, setting the tone for a positive experience. 
  • Average Handle Time measures the thoroughness of interactions, ensuring quality service without unnecessary delays. 
  • Average Wait Time and Queue Time reveal how much a customer’s patience is tested before their needs are addressed, highlighting the importance of respecting their time and reducing frustration. 
  • Average CSAT (Customer Satisfaction Score) captures the essence of customer happiness, serving as a direct reflection of service excellence.
Problem Solution Metrics What it means Impact
A tech company finds that the average resolution time is 48 hours, causing frustration. Implementing advanced troubleshooting tools and better training reduces resolution time to 24 hours. Average Time to Resolution The average time it takes to resolve a customer's issue Quick resolutions lead to higher customer satisfaction and trust in the brand.
An online retailer’s average response time is 10 minutes, leading to customer dissatisfaction. Introducing chatbots for initial responses cuts the average response time to 2 minutes. Average Response Time The time it takes for a representative to initially respond to a customer query Faster response times enhance customer experience and reduce frustration.
A call center’s average handle time is 15 minutes, causing delays. Streamlining scripts and using CRM tools reduce handle time to 8 minutes while maintaining service quality Average Handle Time The total time spent on customer interaction, including hold time and follow-up Efficient handling ensures that issues are resolved promptly without compromising quality
A telecom company’s average wait time is 20 minutes, leading to high drop-off rates. Increasing staff during peak hours, using call-routing and self-service, reduce the wait time to 5 minutes. Average Wait Time The time a customer waits before being connected to a representative Lower wait times improve customer satisfaction and demonstrate respect for their time.
A utility company’s queue time averages 30 minutes, resulting in high customer churn. Implementing a priority system and enhancing self-service options cuts queue time to 10 minutes. Queue Time The total time a customer spends in a queue before their issue is addressed Minimizing queue time prevents customer frustration and potential loss of business.
An airline receives low CSAT scores due to poor service experiences. Training staff on empathy and streamlining complaint processes improve CSAT scores from 60% to 85%. Average CSAT (Customer Satisfaction Score) A measure of customer satisfaction based on feedback after an interaction High CSAT scores indicate effective and satisfying customer service interactions.

7 winning tips for supercharging customer service efficiency

👉Harnessing the voice of the customer analysis (VoC)

VoC analysis is an invaluable strategy for enhancing operational efficiency. With this done right, you can collect deep insights into customer sentiment and behavior—insights that are critical for making data-driven decisions and implementing impactful improvements.

Why does VoC analysis matter?

  • This enables organizations to pinpoint specific pain points in the customer experience, allowing for the creation of streamlined workflows that enhance satisfaction.
  • VoC analysis empowers businesses to refine their products and services based on direct customer feedback, ensuring that offerings not only meet but consistently exceed expectations.
  • It also reveals the key drivers of loyalty, allowing you to tailor your approach and foster meaningful relationships that translate into customer retention.

How does VoC analysis drive improvement?

Utilize essential performance indicators such as Average Abandonment Rate, Average Handle Time, Average Response Time, and Net Promoter Score. These metrics are crucial for assessing the efficiency of customer interactions, helping to identify areas for optimization and enhancing service delivery.

With this analysis, you can go beyond numerical data by incorporating after-support feedback. This qualitative analysis sheds light on the nuances of customer interactions, revealing more profound insights into their needs, preferences, and pain points.

👉Investing in comprehensive agent training

Well-trained agents are pivotal for rapid problem resolution and enhanced customer satisfaction. Their deep product knowledge and adept use of support tools enable swift issue resolution, fostering customer trust. 

Moreover, agents who feel well-supported enjoy higher job satisfaction, which boosts morale and reduces turnover, leading to a more cohesive and motivated team.

Key focus areas for training

  • Omnichannel proficiency: Equip agents to manage multiple digital conversations efficiently.
  • Live chat and phone skills: Enhance agents' abilities to build rapport, listen, or live chat
  • Social media: Train agents to handle inquiries and complaints with speed and efficiency
  • Email support: Develop skills for crafting clear responses and managing email workflows.
  • In-app messaging: Ensure agents provide seamless assistance directly within your app.

To gauge the impact of your training initiatives, establish clear metrics such as:

  • Customer Satisfaction Scores: Track how training impacts customer feedback.
  • Resolution Times: Measure improvements in issue resolution speed.
  • Average Handle Time: Evaluate the effectiveness of average handling time.

Regularly review these metrics and use analytics to monitor improvements, particularly in handling bot-escalated issues. Continuously update the knowledge base with insights from customer interactions to refine and enhance training programs.

👉Empowering frontline teams with a cutting-edge knowledge base

A well-organized, centralized knowledge base is crucial for enhancing the efficiency of your support teams. It provides agents instant access to accurate, up-to-date information, streamlining their workflow and boosting their ability to deliver superior support.

  • New-agent training: A robust knowledge base speeds up this process by helping new hires quickly grasp common issues and solutions, reducing training time and enabling them to become productive sooner.
  • AI-powered FAQ bots: Embedding links to FAQ pages and knowledge-based articles in automated responses can streamline support.
  • Live chat: Integrating the knowledge base with live chat tools can offer immediate and precise assistance.

Regularly updating your knowledge base and using feedback and analytics to refine it ensures it remains a valuable resource, keeping both your support agents and customers well-informed and satisfied. 

👉Delivering seamless omnichannel experiences

To excel in omnichannel support, your teams must deliver a unified, high-quality experience across every customer interaction. Achieving this requires leveraging data-driven insights to address any service inconsistencies. Here’s what you can do:

  • Customer journey mapping: Track the paths customers take across channels to identify and address friction points.
  • Channel performance metrics: Scrutinize response times and resolution rates to detect inconsistencies and ensure smooth service.
  • Customer feedback and surveys: Gather insights from various touchpoints to pinpoint where customer expectations fall short.

To close the gaps, focus on measuring metrics such as: 

  • Customer Effort Score (CES): Assess how effortlessly customers can navigate between channels and resolve their issues.
  • Omnichannel Satisfaction Scores: Use tailored surveys for each channel to gauge overall service quality and identify specific areas needing enhancement.

Consistently reviewing these metrics allows you to adapt and elevate your omnichannel strategy, ensuring a seamless and satisfying customer experience that drives loyalty and engagement.

👉Streamlining with an integrated agent desktop

Agents often spend up to 25% of their working hours searching for and securing relevant information, primarily due to the need to toggle between multiple applications. An integrated agent desktop addresses these inefficiencies by consolidating all necessary tools and information into a single interface. 

  • Centralized data access: Agents can view comprehensive customer profiles, including purchase history, preferences, and interaction history, all from one screen. 
  • Efficient task management: Automated, drag-and-drop workflows and simplified task management processes reduce the time agents spend on routine tasks. 
  • Enhanced collaboration: Integrated knowledge bases and real-time communication tools enable agents to quickly consult with colleagues or access resources without leaving the desktop.
  • Performance insights: These systems also provide valuable insights into agent performance metrics. 

Businesses can eliminate inefficiencies, enhance service quality, and drive better customer experiences.

👉Enhancing self-service opportunities

Tasks such as password resets or software installations can be easily managed without direct assistance, saving time for both customers and support staff. The cornerstone of self-service support is a robust help center or knowledge base.

Key components of effective self-service support:

  • Comprehensive knowledge bases: These extensive resources can cover various aspects of your offerings, allowing users to troubleshoot common problems.
  • FAQ pages: FAQ pages provide quick answers to frequently asked questions, making it easy for customers to find immediate solutions.
  • AI-driven chatbots: AI-driven self-service chatbots provide instant responses to customer queries. They help scale support operations efficiently, freeing up human agents to handle more complex interactions.
  • Interactive Voice Response (IVR) systems: IVR systems can further enable customers to resolve issues through voice commands or keypad inputs.

These self-service tools can significantly enhance customer satisfaction, reduce support workload, and streamline operations. This approach not only meets the growing demand for immediate, round-the-clock support but also empowers customers to resolve issues at their convenience, leading to a more positive overall experience.

👉Automating with AI to promote efficiency

At present, AI-driven customer service solutions are poised to transform support systems by providing 24/7 assistance and enhancing efficiency. These solutions, ranging from chatbots to advanced analytics tools, cater to various aspects of customer service, leading to significant cost savings and improved service quality.

  • 24/7 availability: Virtual assistants offer round-the-clock support, ensuring customer inquiries are addressed instantly, which enhances user satisfaction and boosts retention rates.
  • Efficiency in routine tasks: AI chatbots handle routine inquiries and provide immediate responses, reducing wait times and allowing human agents to focus on complex, nuanced issues that require empathy and critical thinking.
  • Automated ticketing systems: Particularly transformative in industries with high volume interactions, these systems use AI to categorize, prioritize, and route tickets efficiently to the right personnel, streamlining the support process.
  • Enhanced productivity: AI enables human agents to dedicate their time and skills to more challenging problems, improving overall service quality, when repetitive tasks are automated.
  • AI-driven analytics: AI analytics tools play a role in personalizing customer experiences and optimizing user interactions based on detailed insights.

Implementing AI in customer service allows businesses to maintain a competitive edge by providing swift, accurate, and personalized support, all while reducing operational costs.

Customer service efficiency: The time to level up is now

We’ve highlighted the importance of tracking and improving customer service metrics to deliver an exceptional customer experience. Acting on these insights can dramatically enhance customer satisfaction, loyalty, and overall business success.

As an all-in-one platform for agile customer service teams, Plivo CX can be a powerful partner, for offering superior experience via diverse features, such as:

  • Deliver seamless customer experiences across email, voice, SMS, WhatsApp, and live chat – all from one unified agent desktop
  • Deploy intelligent chatbots to instantly resolve complex customer queries, anytime, day or night
  • Integrate Plivo CX seamlessly with your existing tools (ERP, CRM, helpdesk, etc.) for a complete understanding of every customer interaction
  • Design and automate customer journeys across all channels with our intuitive drag-and-drop workflow builder
  • Monitor customer interactions, gather feedback, and adapt your strategies in the moment with powerful analytics and reporting
  • Utilize call recording, barge, and whisper features to provide targeted guidance and improve agent performance

To learn more, schedule a demo today

Aug 29, 2024
5 mins

Everything You Need to Know: AI-Powered Contact Centers

Unlock the potential of AI in contact centers with Plivo CX’s comprehensive guide. Explore strategies and tools for enhanced customer service and operational efficiency.

Customer Service

Did you know-

🚫 79% of customers demand consistent interactions across departments. 

🚫 56% have to repeat or re-explain their issues to different representatives. 

🚫 70% expect all representatives to have the same information about them. 

🚫 55% feel they deal with isolated departments rather than a cohesive company.

This isn’t just an expectation gap—it’s a crisis of operational inefficiency and customers’ frustration that no business can ignore. This is the sentiment shared by 14,300 consumers and businesses worldwide, highlighting significant problems in customer service.

In other words, the conventional approach to customer service is almost broken. Long wait times, impersonal interactions, and outdated systems do their part to drive customers away, damaging brands and eroding loyalty. 

This demands an immediate change. Can AI-powered contact centers be the solution? Its convenience and capabilities seem to say so. Read on to discover how AI-powered contact centers operate.

The fundamental flaws with traditional contact centers

Traditional contact centers face core issues such as high operational costs, outdated infrastructure, and inefficiencies in meeting modern service demands. Let’s go over some of the major drawbacks:

#1 High operational costs and resource constraints

Traditional call centers are often financially crippling, with operating expenses nearing $1.5 billion annually due to high labor costs, outdated infrastructure, and extensive training demands. 

Deloitte’s study highlights that these centers can cost businesses 60-70% more than digital alternatives, diverting resources from innovation. They also fail to meet millennials' expectations for faster, more efficient service, leading to substantial financial losses, including an estimated $750 million in uncollected debt each year.

The message is clear: The inefficiency of traditional call centers isn't just a fiscal problem—it's a symptom of deeper issues.

#2 Agent burnout and attrition 

Nearly 60% of contact center agents face burnout, a pervasive issue across the industry. This often goes unrecognized until its detrimental effects emerge, causing decreased productivity, high turnover rates, absenteeism, increased costs, and lower First Call Resolution (FCR) and Customer Satisfaction (CSAT) scores. 

Call center turnover serves as a pivotal metric for effectively managing operational practices and ensuring the sustained performance and well-being of call center teams.

#3 Limited employee knowledge

Despite heavy investments in customer experience software like CRMs, helpdesk platforms, and live chat tools, many organizations see minimal improvement. 

Approximately 60% of agents reported receiving little to no value from their call center training, leading to constrained customer experiences due to limited knowledge of services, troubleshooting methods, and client customization options.  

The key problem lies in inadequate training for employees to effectively utilize these tools. This gap hinders organizations from maximizing technological investments and meeting the high standards of modern customer service.

#4 Lack of personalization and empathy

According to McKinsey, approximately 70% of customers prefer personalized experiences, and around 75% become upset when this expectation isn't met. This starkly highlights traditional call centers’ inability to deliver tailored interactions. 

Outdated systems and inadequate training leave agents ill-equipped to offer customized solutions, causing customers to feel undervalued and misunderstood. This frustration not only damages customer satisfaction but also erodes brand loyalty, driving customers to seek better experiences elsewhere.

#5 Missed opportunities for proactive service

Traditionally, customer service has been reactive, forcing customers to navigate multiple channels with little success and resulting in low self-service containment rates and widespread dissatisfaction. 

However, Gartner insights reveal a rising customer preference for proactive engagement by organizations. This shift can significantly boost key metrics like Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), Customer Effort Score (CES), and Value Enhancement Score (VES), highlighting a critical evolution in meeting customer expectations.

The promise of AI: Rescuing customer service

Customer service technology has evolved vastly since the earliest documented customer complaint on a clay tablet over 3,700 years ago. AI in contact centers is now transforming customer service, enhancing interactions with intelligence and empathy at every touchpoint.

👉Customers today prefer quick, efficient solutions from chatbots over waiting for live agents. 👉Additionally, managing customer service calls is costly, often running several dollars per call in labor and resources.

AI-powered contact centers transform these high-cost operations into efficient, responsive hubs. The technology optimizes every touchpoint in the customer journey, offering faster and more effective support. Freed from repetitive tasks, agents can dedicate their time to understanding and resolving unique customer issues, leading to higher job satisfaction and improved customer experiences.

Advanced technologies like predictive analytics and machine learning enable AI to analyze vast amounts of data, identify patterns, and predict customer needs. 

How does an AI-powered contact center work?

Adopting AI in customer service can offer numerous benefits for businesses. Here are some ways to leverage customer service AI:

✅Supercharge agents with AI assistants: 

Like Ironman’s JARVIS, AI assistants provide a powerful, guided, and personalized agent experience. Their role is not to replace agents. 

Picture effortlessly addressing your customers' inquiries day or night with these AI-powered self-service chatbots, which can swiftly handle queries, direct customers to the right information, and even create support tickets. These bots quickly retrieve technical details and seamlessly escalate to support agents if AI is integrated with knowledgebase. 

Type of AI Assistant Function
Customer Service Answer FAQs, troubleshoot issues, process refunds, allowing human agents to focus on building customer relationships.
IT Support Troubleshoot technical issues (e.g., password resets and VPN access) and automate repetitive tasks in IT operations.
HR Support Handles employee inquiries about benefits and company policies; automates onboarding processes and pre-screens job applications.
Finance Automate fraud detection, provide personalized investment advice and streamline loan applications in financial services.

✅Predict customer needs with proactive service: 

Predicting customer needs and offering smart suggestions transforms customer service from reactive to proactive, creating smoother and more satisfying experiences for customers. When customers frequently face delays and frustration, having to contact support whenever issues arise. 

With proactive service, the system anticipates potential problems and offers solutions before customers even notice. Customers receive prompt and quick resolutions, ensuring timely service and boosting satisfaction.

✅Personalized journey with omnichannel support
Picture a customer starting a conversation on a website's live chat, seamlessly transitioning to a voice-bot interaction for further assistance, and later receiving follow-up messages via SMS or WhatsApp—all within a cohesive and personalized journey. 

An omnichannel engagement approach integrating AI-powered features for a unified experience would be a solution. This strategy not only ensures seamless real-time interactions but also empowers businesses to personalize outreach and deliver tailored messaging.

✅Streamline operations with smart workflows

AI-powered agent assistance tools can significantly enhance agent productivity and efficiency, helping your support team resolve issues faster. Consider a customer needing support; the voicebot allows them to resolve simple issues when agents are unavailable or directs them to the appropriate queue or agent using their speech or dial tones. 

✅Customize support with AI insights

To make precise predictions about customer behavior, customer support data teams must deeply understand their customer's purchasing habits and lifestyle preferences. This insight is crucial for optimizing the customer journey. 

For instance, AI-powered sentiment analysis enhances this understanding during voice calls. By analyzing customer tone and language in real time, businesses can gauge emotions and tailor support interactions accordingly. This personalized approach resolves issues effectively and fosters stronger customer relationships.

Top questions to ask when choosing your AI solution for your contact center

Choosing the right contact center AI solution hinges on asking the right questions. These queries ensure seamless integration, meet interaction needs, align with timelines, and facilitate swift adoption with minimal training.

👉Can the AI-powered solution handle fluctuations in customer service demand effectively?

A scalable AI ensures you can meet peak demands without sacrificing performance, which means happier customers and fewer lost opportunities. Seek features like dynamic resource allocation and real-time load balancing. These ensure the AI can manage automatically based on current call volumes, maintaining high performance and customer satisfaction.

👉What kinds of interactions can the AI handle effectively?

Ensuring the AI aligns with your specific needs means it can handle routine tasks, freeing up human agents for more complex issues and improving overall efficiency. Evaluate AI capabilities in handling various interactions, such as answering FAQs, performing transactions, providing technical support, and managing complex queries. Advanced natural language processing (NLP) and machine learning capabilities can enhance the AI's performance in these areas, providing a more effective solution for your business.

👉Can the AI software seamlessly integrate with our existing systems and workflows?

Smooth integration minimizes disruptions and maximizes efficiency, allowing you to leverage your existing investments in technology. Look for AI solutions with APIs and pre-built connectors for popular CRM systems (like Salesforce), ticketing tools, and communication platforms. Integration capabilities should allow for a unified view of customer interactions across all touchpoints, enhancing workflow efficiency and data accuracy.

👉What level of customization does the AI solution offer to meet our specific business requirements?

Tailoring the AI to your unique processes and industry-specific needs ensures it delivers maximum value and aligns with your operational goals. Opt for AI platforms that offer configurable workflows, customizable dialogue scripts, and the ability to fine-tune algorithms based on your business rules and data. This flexibility allows you to adapt the AI to your exact needs, providing a personalized experience for your customers.

👉Does the AI software support communication across diverse channels like voice, chat, email, and social media?

Customers demand cohesive and uninterrupted experiences across every channel. A multichannel AI solution helps meet these expectations, boosting customer satisfaction and loyalty. Ensure the AI supports omnichannel interactions, with features like unified customer profiles and consistent interaction history across channels. This integration provides a seamless experience for customers, regardless of how they choose to contact you.

👉How will agents be supported during the transition to AI integration?

Efficient training programs mean quicker implementation and less downtime, enabling agents to start using the AI effectively without a steep learning curve. Look for a unified agent desktop that consolidates all necessary tools into a single interface. Additionally, a robust knowledge base integrated with AI-trained chats can assist agents by pulling relevant information and features on demand, further simplifying the learning process.

👉How quickly can contact center AI software be implemented and put into operation?

Fast implementation reduces downtime and allows you to start realizing the benefits of AI sooner, improving operational efficiency and customer service. Prioritize AI solutions with rapid deployment options, including cloud-based models that can be up and running quickly. Pre-configured templates and out-of-the-box integrations can further accelerate the implementation process.

👉How does the AI solution handle data management and ensure data security?

Customer data should be managed securely and efficiently, which is paramount for maintaining trust and complying with regulations like GDPR or CCPA. Proper data handling can also provide valuable insights to improve customer service and operational efficiency. Ensure robust encryption for data in transit and at rest to protect sensitive information. Look for comprehensive data management tools with automated tagging, anonymization, and secure storage. Verify compliance support for regulations and detailed audit logs. Strong analytics capabilities are crucial for actionable insights and continuous service improvement.

Best-of-breed examples of AI-powered contact center solutions

#1. Plivo CX: 

Plivo CX makes customer service more convenient, less resource-heavy, and solution-centric for small and medium businesses with its cloud-based omnichannel contact center solution. Here’s how it helps:

  • OpenAI-powered live chats handle common questions based on your knowledge base, giving instant help
  • It works with your custom knowledge bases, so agents always have the right answers
  • Agents can switch between channels effortlessly and handle multiple conversations using Unified Agent Desktop. Customers can also reach out to your agents in any platforms they prefer.
  • Predictive analysis triggers automated workflows and directs calls based on agent skills
  • Deliver the right messaging to the right customers at a specific time to increase engagement 
  • Leverage the Workflow builder to build automated customer journeys across all communication channels
  • The platform leverages Plivo’s award-winning premium carrier network with low latency. It supports outbound voice calls to more than 220 countries, with features like call recording for agent training
  • Features like call-back options and sticky routing ensure customers stay connected with the same agent
  • It seamlessly integrates with Shopify, Zoho, Salesforce, Zendesk, and HubSpot, and you can customize it with your API
  • You can also integrate it with your existing systems to create personalized customer journeys across all channels

#2. Help Scout: 

Help Scout provides a comprehensive omnichannel contact center solution that consolidates all client conversations onto a single platform, enhancing the efficiency of customer support. Key features include:

  • Support for chat, live chat, email, and social media interactions
  • A unified inbox for smooth collaboration between customers and agents
  • Tools to improve team efficiency, such as message assignments, private notes, real-time collision detection, and an AI summarizer for email threads
  • Automation capabilities with customizable workflows triggered by actions like tagging subject lines
  • Mobile apps for iOS and Android enable agents to stay connected and respond promptly while on the move

#3. Kustomer:

Kustomer caters to mid-market businesses in e-commerce and retail industries with a range of powerful features:

  • An AI-powered help center available in 76 languages, significantly reducing support volume by deflecting 40% of inquiries
  • KIQ Customer Assist utilizes AI and knowledge base information to provide quick and accurate responses to customer queries
  • Customize IVR menus based on customer data to ensure efficient routing to the most suitable agents
  • Agents benefit from a timeline view that displays interactions in chronological order, offering complete context for better customer service

Will contact center AI replace call center agents?

As AI-driven technology continues to reshape customer service, the question of whether it will replace call center agents is pivotal. Despite technological advancements, over two-thirds (70%) of contact center managers foresee an increase in the number of agents over the next decade. This trend reflects a shift towards cultivating "super agents" who excel in handling complex issues and leveraging multiple communication channels effectively. 

Evolving Roles: Cultivating "Super Agents": 

  • Complex issue management: Agents will specialize in resolving intricate customer problems that require critical thinking and empathy
  • Multichannel proficiency: Super agents will adeptly navigate various communication channels to deliver seamless customer experiences
  • Increasing value: The demand for agents capable of empathetic and personalized problem-solving will rise, underscoring their indispensable role in contact centers

It is also important to note that machines may soon surpass humans in intelligence, reliability, and predictability. However, a key ethical consideration for the future of AI is whether we should maintain a Human in the Loop (HITL) system, even as AI capabilities advance.

Power your contact center with AI 

As we forge ahead into the future of customer service, one truth stands out: the call center industry is undergoing inevitable change. AI integration in omnichannel strategies is pivotal for businesses, offering enhanced operational efficiency and competitive advantages.

It’s time for contact centers to seize growth opportunities. Selecting a customer service platform like Plivo CX that fits your business needs can help you dart ahead in the competition. 

Take charge of transforming your contact center today by starting your free trial with Plivo CX and embracing a future of elevated customer service excellence.

Aug 29, 2024
5 mins

Best AI Chatbots for Customer Service in 2024

Looking for the best AI chatbot for customer service? Explore our top picks for 2024 and see how they can improve your support operations.

Customer Service

Modern customer expectations are at an all-time high. But does your customer service match it measure for measure? 

Or, can one assume that your customer service team is overwhelmed by the volume of inquiries—which is often an omen that agents are stretched thin and desperately need more support? 

In such a scenario, as with other operational segments of the brand, your customer support can benefit by tapping into artificial intelligence (AI), specifically AI chatbots. 

AI customer service bots can improve your customer experience and take the support team’s efficiency to the next level, creating better customer relationships and achieving faster growth. 

This guide covers the advantages of AI chatbots for customer service and the best conversational AI chatbots to choose from. If you’re looking for more reasons to implement an AI support bot, you are in the right place.

10 best AI chatbots for customer service 

S.no. Product Customer Rating Price
1 PlivoCX 4.5

(724 reviews)

Source: G2

Chat-only offering starts at $15/user/month
2 CoSupport AI 5

(3 reviews)

Source: G2

Customized pricing
3 Zoho SalesIQ 4.4

(277 reviews)

Source: G2

BASIC: $4.27 per month

PROFESSIONAL: $9.15 per month

ENTERPRISE: $14.63 per month

4 Intercom 4.5

(3022 reviews)

Source: G2

Essential: $39 per seat per month

Advanced: $99 per seat per month

Expert: $139 per seat per month

5 Zendesk Support Suite 4.3

(5861 reviews)

Source: G2

Suite Team: $55 per month for one agent

Suite Growth: $89 per month for one agent

Suite Professional: $1150 per month for one agent

6 Ada 4.6

(152 reviews)

Source: G2

Available on request
7 Einstein GPT by Salesforce 4.3

(3 reviews)

Source: Capterra

$50

Per month

8 Netomi 4.8

(5 reviews)

Source: G2

Available on request
9 Zoom Virtual Agent 4.5

(187 reviews)

Source: G2

Available on request
10 Tidio 4.7

(1530 reviews)

Source: G2

Starter: $29 per month

Growth: $59 per month

Tidio+: $749 per month

Enterprise: $2999 per month

1. Plivo CX 

Best for a simple, no-code chatbot that offers reliable, first-line of support 

Use Plivo CX for swift, seamless and cost-effective resolution of customer queries

Plivo CX is an omnichannel customer service platform built with advanced features and functionality, including AI customer service bots and live chat. 

Plivo CX’s no-code, AI-powered self-service chatbot is one of the most versatile solutions for agile customer service teams. Driven by OpenAI’s latest GPT model, It offers 24/7 self-service support for quick, accurate, and seamless query resolution. The AI chatbot acts as a reliable first line of defense for your customer support team, designed to answer common customer queries swiftly.

Key features

  • Allows customers to quickly navigate issues and find the solution they were looking for 
  • Integrate the chatbot with custom knowledge bases for more accuracy
  • The in-app customer service enables customers to send and receive photos and documents easily, making issue resolution faster 
  • Offers fast handoff whenever customers want to escalate to a live agent
  • Comes with a unified agent desktop for omnichannel support, as agents can quickly switch between channels with complete visibility of the customers’ issues
  • Besides chatbots, you can further personalize first interactions with the Voice IVR 
  • Offers seamless integrations with top marketing platforms like HubSpot, Help Scout, Zendesk, and even home-grown systems    
  • Build custom workflow, trigger them remotely and automatically hand over issues to the most apt agent available 
  • Investigate customer interactions and gather feedback in real time via Metrics and Reporting 

Limitations

  • Lacks quality assurance and workforce management features needed for customer support teams
  • No mobile version is available for support agents
  • It is not ideal for transactional ticket-based customer support interactions

Pricing

  • Omnichannel plan: starts at $29 per user per month
  • Voice-only plan: starts at $25 per user per month
  • Chat-only plan: starts at $15 per use per month

Plivo CX Ratings and Reviews

  • G2: 4.5/5 (700+ reviews)
  • Capterra: 4.3/ 5 (80+ reviews)

2. CoSupport.AI

Best for delivering fast and secure customer support 

CoSupport.AI is a generative AI chatbot for customer service teams. It is great for delivering instant answers to customer queries with context-based responses. 

CoSupport.AI leverages unique AI models, including a cutting-edge LLM, to help customers based on external databases and client issues. If you’re looking for a solution offering fast and secure support, you should explore CoSupport.AI.

Key features

  • Delivers instant, context-based answers to customer queries
  • Integrates with your existing CRM platforms and communication channels
  • Automates routine tasks, enabling more cost savings and easily scalable support 

Limitations (Trust Radius)

  • It takes time to synchronize workflows between teams. 

CoSupport.AI Ratings and Reviews 

Pricing

Available on request

3. Zoho SalesIQ 

Best for offering support and capturing website leads

Zoho SalesIQ offers an AI chatbot that’s built for cross-functional purposes, catering to the customer engagement needs of sales, marketing, and customer support teams. It interacts with every site visitor on the go. When it comes to the customer support use case, this chatbot helps agents in easily handling customer support tickets.  

Key Features:

  • Offers instant responses to common customer questions
  • Delivers answers in the customers’ preferred language
  • Helps automate your live chat operations without having to input a single line of code 

Limitations (Trust Radius)

  • Integration with 3rd party ticketing systems not in the Zoho family of products 
  • The time it takes to acquire the results of an inquiry might be a bit excessive at times

Zoho Sales IQ Ratings and Reviews 

  • G2: 4.4/ 5 (270+ reviews)
  • Capterra: 4.5 /5 (90+ reviews)

Pricing

  • BASIC: $4.27 per month
  • PROFESSIONAL: $9.15 per month 
  • ENTERPRISE: $14.63 per month

4. Intercom

Best for advanced AI features 

Intercom presents a conversational AI for customer service with a view to backing your support team in handling large volumes of queries. The great part about using this platform is that it requires minimal effort to activate the chatbot—no complex configurations and no coding is required to get started. 

Features:

  • Resolves customer issues with safe, accurate, and conversational responses
  • Provides a visual automation builder with no-code building blocks like bots, triggers, rules, and conditions
  • Intercom passes these conversations on to your support team for queries that fall beyond the chatbot's bandwidth

Limitations (Capterra)

  • Limited voice call features and capabilities
  • Inadequate tools for agent performance tracking and quality control
  • Lack of compatibility with custom-built systems. 

Intercom rating and reviews

  • Capterra: 4.5/ 5 (1000+ reviews)
  • G2: 4.5/ 5 (3000+ reviews)

Pricing 

  • Essential: $39 per seat per month 
  • Advanced: $99 per seat per month
  • Expert: $139 per seat per month

5. Zendesk

Best for managing high-frequency, minimal human touch tickets 

Zendesk comes with impressive AI customer service bots that make it easier for customers to reach you and get instant, personalized responses. Known as the Zendesk Answer Bot, this intelligent chatbot directly derives information from your business’s knowledge base to respond to customer questions. 

Key Features

  • Trains itself with every customer interaction, delivering increasingly relevant and specialized content with each solved ticket 
  • Responds to customer queries across different channels without delay
  • Handles complex interactions with minimal involvement from human agents

Limitations (Trust Radius)

  • The support platform does not enable businesses to provide a conversational support experience
  • Everything requires creating tickets, resulting in a transactional experience

Zendesk rating and reviews

  • G2: 4.3/ 5 (5800+ reviews)
  • Capterra: 4.9/ 5 (12 reviews)

Pricing 

  • Suite Team: $55 per month for one agent 
  • Suite Growth: $89 per month for one agent 
  • Suite Professional: $1150 per month for one agent

6. Ada

Best for proactive, human-like responses

Ada is one of the industry’s leading Natural Language Understanding (NLU) platforms. It enables you to build a scripted chatbot. Using the Ada Reasoning Engine, you can use an AI chatbot that imitates human reasoning and understanding.

Key features:

  • Delivers logical responses to customer queries, enabling a smooth and seamless customer experience every time
  • Captures customer intent and responds rationally with human-like answers
  • Provides extraordinary customer experiences swiftly and at a lower cost than human agents

Limitations (G2)

  • The messenger flow isn't as nice as the regular flow.

Ada rating and reviews

  • G2: 4.6/ 5 (150+ reviews)
  • Capterra: 4.4/ 5 (9 reviews)

Pricing 

Available on request

7. Einstein GPT by Salesforce

Best for Salesforce users 

Einstein GPT by Salesforce is an AI-powered chatbot built directly into the Salesforce CRM that suggests AI-generated answers to customer questions and queries. It offers multilingual, multi-channel bots that help customer service teams resolve queries faster.  

Key features

  • Create customer service bots using templates built with pre-loaded intent data, conversational flows, and design
  • Allows customers and support agents to converse in the language they are most comfortable in
  • Deploys workflow automation for simple as well as complex tasks

Limitations (Capterra)

  • NLU may fail to accurately interpret free text input despite adequate training data

Einstein GPT by Salesforce rating and reviews

Pricing 

$50 per month

8. Netomi

Best for contextual and efficient response to customers

Netomi is a conversational AI platform that taps into AI-powered automation by using supervised and unsupervised learning to proactively engage with customers. An advantage of using this platform is that it goes through the complete user context, history, etc., to offer a fool-proof experience. 

Key features

  • Offers easy handoff and navigation across different channels and systems for a well-connected experience
  • Directs customers to achieve specific outcomes in a personalized and interactive journey
  • The co-pilot assists agents in real-time in responding to customer requests  

Limitations (G2)

  • Improvements could be made to the AI Chat studio

Netomi rating and reviews

  • G2: 4.8/ 5 (15 reviews)
  • Capterra: 4.8/ 5 (4 reviews)

Pricing 

Available on request

9. Zoom Virtual Agent 

Best for customer communications within the Zoom ecosystem

The Zoom Virtual Agent is built with the purpose of resolving customer issues quickly and at scale. The Zoom Virtual Agent serves as an ‘always on’ chatbot that is designed to offer personalized journeys. It creates customized workflows and messages catering to unique segments based on their profiles or data attributes. 

Key features

  • Provides the best possible answers by detecting user needs and preferences using NLP
  • Intelligent hand-off where every human agent has ample context on the customer’s issue, ensuring seamless customer support
  • Directs agents to the correct channel or support agents

Limitations (G2)

  • Lacks additional language support for global customers.
  • There's a learning curve to understanding actions that should be taken based on your reports. Further, some of the actionable insights are separated (if you have multiple personas).

Zoom Virtual Agent rating and reviews 

  • G2: 4.5/ 5 (180+ reviews)

Pricing 

Available on request 

10. Tidio

Best for tracking real-time performance 

Tidio is another AI chatbot for customer service that helps answer the more commonly asked 

questions. Tidio’s AI chatbot for service, Lyro, responds with all the recurring and repetitive resolutions so that human agents can get down to more important business. 

Key features

  • Delivers resolutions rooted in your knowledge base and support content
  • Gives real-time analysis of your customer experience
  • Tracks your real-time performance so that you can course-correct for better results

Limitations (Capterra)

  • Limited export capability and some granular metrics seem to be missing
  • Their add-on/upgrade structure also feels uneven and confusing

Tidio rating and reviews

  • Capterra: 4.7/ 5 (450 reviews)
  • G2: 4.7/ 5 (1500+ reviews)

Pricing

  • Starter: $29 per month
  • Growth: $59 per month
  • Tidio+: $749 per month
  • Enterprise: $2999 per month

Advantages of AI chatbots for customer service 

Here’s why adopting an AI chatbot can be more than just a technical upgrade: 

1. Round-the-clock availability 

The best way to win over your customers is by offering support exactly when they need it—even if these queries come outside your business hours. The AI customer service bot offers 24/7 assistance to customers even if agents are unavailable, leading to a positive brand perception and increased sales. 

2. Easy scalability

AI chatbots remove the pains associated with scaling your business and operations. As you scale up, you will witness a growing influx of queries. Instead of waiting to hire more agents, you can set up an AI chatbot to cater to simple queries and offer consistent and continuous support at all times.

3. Cost-effectiveness 

An AI support bot can handle a large portion of your customer service queries and simpler tasks like answering FAQs, sharing order status, and so on. This saves you the cost of hiring additional staff for your customer service team without compromising the quality of support you deliver to customers. 

4. Swift resolution 

One of the most significant advantages of an AI chatbot is the speedy resolution it can offer to inbound customers. They incorporate natural language processing (NLP) and machine learning to provide intuitive and efficient responses within seconds. 

How to choose the best AI chatbot for customer service 

Chatbots have been shown to speed up response times by an average of 3X. A good AI chatbot can automate all the routine, repetitive work while your human agents deal with the more complex issues. 

Here’s a quick guide on which key features you should look out for: 

1. Workflow builder 

A workflow builder does not require extensive coding knowledge. It helps you build and customize your chatbots’ behavior and workflows for easy automation. With these ready-to-use workflows, you can automate multiple tasks, such as escalating to a live agent or dropping emails after a conversation.

2. Reporting and analytics

Chatbot reporting and analytics help you be more strategic with your support. They help you find your peak hours when customers are most active and spot patterns, such as the most repetitive queries. Further, tracking your average engagement allows you to improve and deliver better chatbot support.  

3. Chatbot AI

AI chatbots incorporating NLP (Natural Language Processing) and machine learning capabilities ensure more natural, engaging, and efficient responses. Every chatbot conversation should be as smooth and engaging as interacting with a live agent. 

4. Omnichannel support 

What if your customers want to connect to live agents on calls or more preferred channels like WhatsApp? Opt for an AI chatbot that provides unified support across different channels, including but not limited to live chat, voice, SMS, email, and WhatsApp 

5. Use case 

Consider the use case and pain points of the end user, i.e., your customer service team. To cater to customers across diverse time zones, you need a 24/7 AI chatbot. It is equally important that it is easy to set up and use so that there are no disruptions in the support delivery. The best conversational AI platforms are highly scalable and should handle large volumes of queries without compromising response quality or time. 

6. Key features 

Work with your customer service team to identify priority features such as no-code AI chatbots requiring minimal tech intervention in setup and usage. An AI chatbot with an integrated knowledge base and smooth hand-offs are also essential to simplify query resolution.  

7. Integration with other support tools 

Customer service is not a stand-alone function focused on answering customer queries. It also involves sending follow-ups and emails, logging customer interactions, etc. Look for an AI chatbot that integrates with platforms like CRM and help desk solutions and is compatible with other tools in your existing tech stack.  

8. Quality of support 

Consider the quality of support you receive from the provider in case of any issues, as it can amount to downtime and a potential loss of customers. Easy access to troubleshooting assistance is essential to avoid any interruptions in the service. Additionally, there should be appropriate measures to ensure your chatbot has the latest capabilities to deliver optimum customer support. 

The final verdict: Choosing the best AI service bot for customer support

When it comes to selecting an AI chatbot for customer service, Plivo CX undoubtedly ticks all the boxes. With a comprehensive suite of features and seamless integration capabilities, it helps you offer the right balance of agent support and AI-powered responses. 

The AI chatbot offered by Plivo CX helps you deliver an always-on, personalized customer experience with minimal human intervention. You can manage large volumes of queries, deliver prompt resolutions, and deliver exceptional experiences to customers. 

Ready to elevate your customer experience? Book a demo to learn more. 

Aug 29, 2024
5 mins

12 Proven Shopify Marketing Strategies to Boost Your Sales

Attract costumes to your Shopify store. Check out these marketing strategies to boost sales.

Shopify Marketing

As of 2024, there were approximately 5.23 million Shopify stores globally, with the United States dominating the market, boasting 57.65% of the total. Therefore, it is no surprise that e-commerce is becoming more competitive every day. 

However, many smaller or medium-sized eCommerce stores on Shopify still rely on traditional marketing strategies to reach their customers. The question is, how effective is this? Is there more you can do to stand out and attract more high-intent customers to your site? 

Some tried-and-tested Shopify marketing strategies can help you with this so that you gain more visibility and maximize ROI. To help you get started, we’ve compiled 12 proven Shopify marketing strategies in this blog post. 

And yes, we also recommend the most suitable tool you can use to automate operations and accelerate your products’ go-to-market while amplifying their impact. 

Let’s begin!

12 proven Shopify marketing strategies to boost your sales

1. Run abandoned cart recovery campaigns 

It’s common for customers to put something in their cart and leave your site without checking out. On average, 70.19% of carts are abandoned by customers. Reasons? Complex checkout process, additional costs, slow delivery or security concerns. 

To reclaim lost revenue, you must run abandoned cart recovery campaigns.
As an all-in-one, AI-powered customer engagement platform for Shopify stores, Plivo CX can help right from the beginning. The Journeys feature in this tool tracks customer behavior and allows highly customized and relevant messages to be sent to the customer at the right time.
 

Source: Plivo Journeys 

For example, if one of your customers abandoned a product in their cart, they’ll receive a message to continue their checkout. You can curate these messages yourself or use the AI copywriter to do it for you. 

Either way, your customers will receive a reminder to complete their checkout, and you’ll save the revenue that you’d otherwise lose.

2. Add an Instagram feed to your store 

42% of consumers say that user-generated content is the most influential factor in making purchase decisions. Integrating an Instagram feed into your store is the best way you can capitalize on user-generated content to increase sales. 

You can add an “As Seen on Instagram” section that allows customers to see real-life usage of your products by influencers and other users. It enhances your store’s visual appeal and social proof.

See how ‘Farrow & Ball’ added an Instagram feed to their website to inspire visitors.

Source: Farrow&Ball

3. Use chatbots in your Shopify store 

Incorporating chatbots in your Shopify store can significantly enhance customer experience. Chatbots can handle multiple customer queries and provide quick answers to frequently asked questions. 

They can also guide customers through the purchase process, offer product recommendations, and assist with checkout. This significantly reduces interaction time, which can increase conversion rates.

Here are the top issues that chatbots can resolve without human intervention. 

Source: Gartner

Gartner also predicts that chatbots will become a primary customer service channel within five years. Therefore, now is a really good time to implement chatbots in your Shopify stores. 

Plivo CX offers an OpenAI-powered self-service AI chatbot that solves customer queries for you. It uses the custom data set you select, so you can always trust its relevance and accuracy. 

Also, you can build your chatbots in minutes with drag-and-drop workflows without requiring coding. 

4. Send engaging SMS to customers 

45% of customers prefer sales and promotional texts from brands they follow.  It makes SMS a great channel to communicate with and attract customers to your store. 

SMS is fast and reliable, which helps you deliver time-sensitive messages for flash sales, abandoned carts, and product launches to a huge number of customers at once. And there’s a great chance that they’ll open and read your text, as SMS has a 98% open rate.

Just make sure you get consent from your customers to send these text messages and only share relevant information with them. Even though text messages have great ROI, they can get annoying if you don’t follow certain guidelines for SMS marketing

That’s why Plivo CX comes packed with built-in channels that let you send personalized text messages to your target audience wherever they prefer. 

Plivo CX platform also leverages Plivo’s proprietary premium carrier network, which offers latency-free global reach to 190+ countries and secure delivery. To send messages to a specific target audience, all you need to do is just import your contacts via CSV or API, and you’re all set. 

What’s more, you can use the platform’s in-built AI Copywriter to craft highly impactful copy based on your marketing goal, parameters, timing, urgency and desired tone. 

5. Allow customers to create their own bundles 

For some products, such as T-shirts, makeup brushes, razors, etc., bundling is highly recommended. You can capitalize on this by offering pre-designed bundles or allowing customers to create their bundles. 

Sell these bundles at discounted prices compared to buying the same items separately. It increases the value for the customer and provides a sense of control, encouraging more purchases. 

You can create gift bundles for customers during holidays or offer subscription bundles to increase repeat purchases. To create bundles, you can head over to Shopify Bundles from the Shopify app store.

For example, see how Wild One, an animal accessory brand, curates kits for its customers. 

Source: Wild one

6. Sell directly on social media 

Leveraging social media platforms for direct sales can significantly boost your Shopify store's visibility and revenue. 

Social media platforms like Instagram, Facebook, and TikTok offer integrated shopping features, allowing customers to browse and purchase products without leaving the app.

Instagram shop

Source: Instagram for business

Instagram is highly visual, making it an ideal platform for showcasing products through images and videos. 

Best practices for using an Instagram shop

  • Shoppable posts: Tag products in your posts and stories, making it easy for users to shop directly from your content.
  • Collections: Organize products into collections to make browsing easier for customers.
  • Instagram checkout: It enables users to purchase products directly within the app, providing a seamless shopping experience.

Facebook shopping

Source: Facebook

Facebook Shops allows businesses to create an online store that is accessible through Facebook and Instagram. 

Best practices for Facebook shopping

  • Customizable storefronts: Create a visually appealing shop with customizable layouts and product collections.
  • Integrated checkout: Allow customers to complete purchases without leaving Facebook or Instagram.
  • Customer support via Messenger: Integrate Facebook Messenger to provide instant customer support and enhance the shopping experience.

TikTok shop

TikTok Shop allows businesses to sell products directly through the widely popular TikTok app. With TikTok’s algorithm-driven content discovery, products can reach a wide and highly engaged audience.

Best practices to use TikTok shop

  • Shoppable videos: Tag products in your videos, enabling viewers to shop directly from the content they are watching.
  • Live shopping: Host live shopping events where viewers can purchase products in real time.
  • Creator collaborations: Partner with influencers to promote your products to a broader audience.

7. Sell through communities 

Building and leveraging communities can significantly enhance the success of an e-commerce business. A community fosters a sense of belonging and loyalty. While other brands may sell and forget, you can nurture your customers inside a community to become a top choice in your market segment.

Engaged communities often lead to organic word-of-mouth marketing. It also gives you an opportunity to collect valuable feedback and insights directly from customers. You can use that feedback to understand their preferences and improve your products. 

How can you sell through communities?

  • Create exclusive offers: Offer exclusive deals and discounts to community members to incentivize purchases and make them feel valued. 
  • Host events and webinars: Organize virtual events, webinars, or live Q&A sessions to engage with the community, showcase products, and offer special promotions. 
  • Utilize social media groups: Use platforms like Facebook Groups, Reddit, and specialized forums to share valuable content, answer questions, and foster discussions within your communities.

8. Get active on Pinterest

Pinterest is one of the underrated social media channels that can help you increase your sales. Since the introduction of buyable pins, over 518 million active users can now shop on Pinterest. 

Pinterest is beneficial for your ecommerce brand as over 1 in 3 Pinterest users have an annual income of over $100k. This makes Pinterest a haven for luxury ecommerce brands. 

All you have to do is set up a business account on Pinterest and start creating a well-branded and cohesive presence on the platform. Use consistent fonts, logos and hashtags to grow your page. 

Here’s how you can start selling on Pinterest:

Source: Pinterest
  • Setup & verification: Link and verify your sales website on Pinterest, using rich pins or catalogs to upload your product library.
  • Promoted pins: Use Pinterest's paid ads and promoted pins to boost visibility and drive traffic.
  • Engaging content: Design shareable pins with infographics, quotes, and DIY projects. You can also utilize video pins for real-time product showcases.
  • Community & analytics: Create a community with user-generated content, influencer marketing, and group boards. Also, utilize Pinterest Analytics to track performance and understand audience behavior.

9. Set up an affiliate program

Affiliate marketing is a powerful strategy for increasing sales and expanding your reach. By partnering with affiliates, you can leverage their audiences and marketing efforts to promote your products.

Affiliate marketing is cost-effective because you only pay for actual conversions. This means you can achieve a high return on investment (ROI) with minimal upfront costs. 

How to set up an affiliate program:

  • Define your goals and budget: Determine what you want to achieve with your affiliate program, such as increasing sales, boosting brand awareness, or improving SEO. Set a budget for commissions and bonuses.
  • Choose an affiliate platform: Select a platform that fits your needs and budget. You can choose from ShareASale, Rakuten, and Commission Junction. These platforms provide the tools necessary to manage affiliates, track performance, and handle payments.
  • Create attractive commission structures: Offer competitive commission rates to attract high-quality affiliates. Consider tiered commissions, where affiliates earn higher rates as they drive more sales.
  • Develop marketing materials: Provide affiliates with banners, product images, promotional content, and guidelines to ensure consistent messaging and branding. 
  • Set Up tracking and analytics: Use tracking software to monitor affiliate performance and sales. This ensures transparency and helps you measure the success of your program. 

10. Set up shoppable product suggestions on the homepage 

Shoppable product suggestions on your homepage reduce the number of clicks to make a purchase. Your customers can land on your website, see a product they like and instantly buy from the homepage. 

Displaying popular or recommended products on the homepage also encourages impulse buys. For example, check out this enticing homepage by Felix & Norton. 

They display their ravishing cookies on the homepage so their customers get instant cravings as soon as they land on the website.

Source: Felix & Norton

To create personalized product suggestions, implement dynamic content that adjusts product suggestions based on user behavior and preferences. Tools like Shopify’s built-in personalization apps can help automate this process.

11. Personalize seasonal promotions 

Seasonal promotions are a powerful way to boost sales and engage customers by aligning your marketing efforts with specific times of the year. They drive urgency and encourage customers to make purchases within a limited timeframe. 

You can create a content calendar ahead of time and plan your campaigns accordingly. Look at the trends to make your seasonal campaigns more relevant to your target audience. 

Design promotions that offer unique value, such as discounts, limited-edition products, or bundled deals. For example, Black Friday and Cyber Monday sales often feature significant discounts that attract a large number of shoppers.

Source: Marks and Spencer

For instance, a recent study from Accenture shows that 61% of consumers will focus on shopping items that they can use even post-holidays. So, utilize this trend in your marketing messages and highlight how your product adds value to your customers even after the holidays. 

Here’s how you can personalize your seasonal messages: 

  • Use targeted email and SMS campaigns to highlight these benefits and the urgency of the offers to drive engagement. You can use Plivo CX to automate the process. 
  • Use Plivo’s email marketing and SMS marketing tools to automate and personalize these communications.

You can also use Plivo CX’s Campaigns feature to create and manage your seasonal promotions, ensuring they reach the right audience at the right time. 

The best part is that you don’t have to rely on a team of writers to draft seasonal content. Once more, use AI copywriting to develop engaging and persuasive promotional messages that resonate with your target audience.

Automate your Shopify marketing strategy and boost sales with Plivo CX

All these marketing strategies work, but they take time to set up. If you do it manually, you’ll need to hire writers, email marketers, and social media marketers just to begin the process. 

If you don’t want to build a team upfront, try Plivo CX to automate the key steps of your marketing process. The platform comes with all the necessary tools to get your marketing strategies up and running, such as:

  • Multichannel messaging: Reach out and engage customers via SMS/MMS, email, and WhatsApp.
  • Audience management: Tools for segmenting and managing audiences effectively
  • Campaign automation: Automate and schedule marketing campaigns for more convenience
  • AI-powered copywriting: Generate and personalize creative content for campaigns with AI 
  • Analytics and reporting: Measure campaign performance and customer engagement to strategize better
  • Integration capabilities: Seamlessly integrate with existing systems

With Plivo CX, you can kickstart your marketing strategy in no time. The platform automates the process while you sit back and monitor results. 

With a deal this good, there’s no time to waste. Request a demo to Plivo CX now and start marketing your Shopify store.

Aug 29, 2024
5 mins

10 Best AI Customer Service Software for CX Professionals

Find the best AI customer service solution to transform your support team. Learn how the top AI solutions offer personalized, 24/7 support

Customer Service

There is no doubt that customer service teams are under immense pressure to deliver high-quality support. From handling routine tasks to managing a huge influx of support tickets, agents are often caught in the crossfire of repetitive tasks and complicated customer issues that demand a nuanced approach. 

In this context, AI-driven customer service can be the gateway for faster resolution and more impactful customer experience—something agile and super-responsive teams could always use.     

HubSpot’s latest data also seems to corroborate this; it notes that AI and automation have helped 78% of customer service professionals spend more time on the more pressing action items instead of drudging behind routine tasks. 

AI customer service software frees up human agents for more nuanced and high-impact problems, such as handling high-value customers and responding to service outages and crises that call immediate attention. 

To help you get started with these software tools, in this article, we have handpicked the top performers in this segment that your agents can adopt. 

10 best AI customer service software for CX teams

S.no. Product Customer Rating Price
1 Plivo CX 4.5

(724 reviews)

Source: G2

Omnichannel plan: starts at $29 per user per month

Voice-only plan: starts at $25 per user per month

Chat-only plan: starts at $15 per use per month

2 Balto 4.8

(446 reviews)

Source: G2

Available on request
3 Zendesk Support Suite 4.3

(5861 reviews)

Source: G2

Suite Team: $55 per agent per month, billed annually.

Suite Growth: $89 per agent per month, billed annually.

Suite Professional: $115 per agent per month, billed annually.

4 Chatfuel AI 4.5

(44 reviews)

Source: G2

Free Plan: Available
Business Plan: $14.39 per month for up to 500 conversations.

Enterprise Plan: $300 per month for additional features and support.

5 Freshdesk 4.4

(3127 reviews)

Source: G2

Free Plan: available

Growth
: Starts at $15 per agent per month, billed annually.

Pro: Priced at $49 per agent per month, billed annually.

Enterprise: Costs $79 per agent per month, billed annually.

6 Tidio 4.7

(1530 reviews)

Source: G2

Starter: $29 per month

Growth: $59 per month

Tidio+: $749 per month

Enterprise: $2999 per month

7 Nextiva 4.5

(3183 reviews)

Source: G2

Essential: $18.95 per month, billed annually

Professional: $22.95 per month, billed annually

Enterprise: $32.95 per month, billed annually

8 Kustomer 4.4

(422 reviews)

Source: G2

Enterprise: $89 per user per month

Ultimate: $139 per user per month

9 Zoho Desk 4.4

(5620 reviews)

Source: G2

Free Plan: Available

Express: $7 per user per month

Standard: $14 per user per month

Professional: $23 per user per month
Enterprise: $40 per user per month

10 Intercom 4.5

(3024 reviews)

Source: G2

Essential: $39 per seat per month

Advanced: $99 per seat per month

Expert: $139 per seat per month

1. Plivo CX

Best for 24/7 AI-powered customer support

Designed to address key pain points for small businesses and SMBs, Plivo CX is an all-in-one AI customer service platform for high-performing CX teams. It comes with an OpenAI-powered chatbot with an integrated knowledge base, which is ideal for delivering 24/7 support. You can also train it on a custom dataset to increase the accuracy and relevance of responses. Additionally, its AI engine can automatically sort and prioritize incoming customer support requests, making sure that urgent issues are handled quickly. You also have the ability to personalize the AI agents to align with your brand's image, policies, and procedures, ensuring they stay focused and in line with your company's guidelines.

The tool comes with a Unified Agent Desktop that offers agents a true omnichannel experience as they can seamlessly view the entire context of customer issues from a single window pane and respond quickly. 

Key features 

  • Reduces dependence on live agents by over 50% using OpenAI-powered self-service chatbots that are governed by your brand policies and guidelines
  • Unifies customer conversations across email, voice, SMS, WhatsApp, and live chat simultaneously
  • Enables simple and convenient hand-offs in case customers want to connect with a human agent 
  • Promotes superior CX for your brand with highly-customizable IVR
  • Users can build Workflow to automate customer journeys across all communication channels without needing to code
  • Intelligent routing matches callers to skilled agents for efficient problem-solving
  • Anticipates and delivers proactive answers to customer queries and questions 
  • Provides insights into customer service performance with live metrics and historical reporting 
  • Connects directly with widely-used CRMs, helpdesk systems, and order and payment platforms. 
  • Can quickly integrate with custom APIs, so that you can offer more personalized responses

Limitations 

  • Lacks features for monitoring agent performance, ensuring quality standards, and optimizing workforce allocation
  • Does not offer a mobile application for agents to access and manage tickets on the go
  • May not be well-suited for handling large volumes of routine, transactional customer support inquiries

Pricing

Omnichannel (annual plans):

  • Growth: $29 per user per month
  • Business: $69 per user per month
  • Enterprise: Available on request

Voice-Only annual plans

  • Growth: $25 per user per month
  • Business: $40 per user per month
  • Enterprise: Available on request

Chat-Only annual plans

  • Growth: $15 per user per month
  • Business: $30 per user per month
  • Enterprise: Available on request

Plivo CX ratings & reviews 

  • G2: 4.5/5 (700+ reviews)
  • Capterra: 4.3/5 (80+ reviews)

2. Balto

Best for capturing customer behavior

Balto is an AI-powered contact center that customer service managers can use to coach and train support agents. Access to real-time reporting and QA helps you capture data and correct course exactly when needed. Key features

  • Allows instant manager intervention for every call that is trending negative 
  • Delivers dynamic prompts to agents so that they can handle inbound queries effectively 
  • It provides a gamified experience where agents can be incentivized to improve their performance

Limitations (G2)

  • Balto updates take too long to install for the new versions and need higher specs to be compatible with devices.

Pricing

Available on request Balto Service Rating and Reviews

  • G2: 4.8/ 5 (400+ reviews)
  • Capterra: 4.4/ 5 (10 reviews)

3. Zendesk Support Suite

Best for building smooth customer service workflows 


Zendesk Support Suite is an AI customer service platform that helps you make conversations more personalized. This platform is designed to handle even complex customer service interactions, providing relief to human agents. It also comes with various tools like ticketing, live chat, and self-service portals.

Key features: 

  • Facilitates quick and seamless customer service resolution with AI agents 
  • Empowers customer service agents with full context behind every customer service interaction
  • Uses generative AI to drop personalized responses to customers 

Limitations (Capterra)

  • It comes with a significant learning curve
  • Does not offer features for real-time, conversational support, such as chat or voice
  • Requires all customer interactions to be channeled through tickets, creating a transactional experience

Pricing 

  • Suite Team: $55 per agent per month, billed annually
  • Suite Growth: $89 per agent per month, billed annually
  • Suite Professional: $115 per agent per month, billed annually

Zendesk ratings & reviews

  • G2: 4.3/ 5 (5800+ reviews)
  • Capterra: 4.4/ 5 (3900+ reviews)

4. Chatfuel AI

Best for handling customer interactions on WhatsApp

Chatfuel is one of the top AI platforms that enables customer service teams to manage customer interactions and resolve complaints with ease. It comes with an AI agent called Fuely AI, which has a range of skills that can be used in various combinations. Additionally, it integrates with multiple platforms such as Stripe, Shopify, Zapier, Calendly, Google Sheets, and more. 

Key features: 

  • Personalizes customer interactions and enables timely and relevant responses to each customer
  • Seamlessly integrates with WhatsApp, enabling easy accessibility for customers 
  • Offers a round-the-clock customer support team that can cater to user queries at any point of the day

 Limitations (G2)

  • Does not offer as many functions and can be expensive for businesses with large audiences
  • Sometimes, Chatfuel can be challenging to use if you don't have a developer 

Pricing (Source)

  • Business Plan: Starts at $14.39 per month for 500 conversations. A plan for 1,000 conversations per month is available at $34.49
  • Enterprise Plan: Priced at $300 per month, which includes all features from the Business plan plus additional services 
  • Chatfuel offers a free 7-day trial of the business plan

Chatfuel AI ratings & reviews 

  • G2: 4.5/ 5 (40+ reviews)
  • Capterra: 4.4/ 5 (20+ reviews)

5. Freshdesk

Best for intuitive and contextual customer service 

Freshdesk is a leading AI customer service solution with advanced ticketing functionality that enables you to deliver personalized support quickly. It reduces agent workload by offering automated customer service features. The platform’s native AI bot, Freddy, promptly attends to customer queries across chat and emails, learning and adapting from previous customer interactions, offering a more accurate and contextual response each time. 

Key features: 

  • Helps customer service teams resolve queries swiftly and accurately at every step
  • Provides a single platform to prioritize and handle tickets at scale 
  • Enables smart self-service for customers with automation, allowing them to get to answers more quickly 

Limitations (G2)

  • Lack of synchronization. It has a syncing problem in reports and data.
  • It can quickly get expensive for smaller teams, and you end up paying for a lot of things you don't use.

Pricing (Source)

  • Free Plan: available
  • Growth: Starts at $15 per agent per month, billed annually.
  • Pro: Priced at $49 per agent per month, billed annually.
  • Enterprise: Costs $79 per agent per month, billed annually

Freshdesk ratings & reviews 

  • G2: 4.4/ 5 (3100+ reviews)
  • Capterra: 4.5/ 5 (3200+ reviews)

6. Tidio 

Best for real-time customer communications

Being an AI customer service solution, Tidio diverts inquiries to their AI support agent, Lyro. It answers 70% of repetitive questions without any involvement from human agents. The platform also offers a live chat that engages with your website visitors and customers in real time. 

Key features:

  • Offers assistance to multiple customers simultaneously, significantly increasing your first-contact resolution rate 
  • Answers customer questions across multiple channels and in multiple languages 
  • Performs recurring tasks on behalf of human agents, such as creating tickets, checking order statuses, etc. 

Limitations (G2)

  • Lack of integration with external platforms
  • It has limitations in areas like queue visibility, pricing for larger teams, reporting, and chatbot customization 

Pricing (Source)

  • Starter: $29 per month for up to 100 conversations
  • Growth: $59 per month for up to 1,000 conversations
  • Tidio+: $749 per month
  • Enterprise: $2999 per month

Tidio ratings & reviews 

  • G2: 4.7/ 5 (1500+ reviews)
  • Capterra: 4.7/ 5 (450 reviews)

7. Nextiva

Best for conversational AI features for voice-based interactions 

Nextiva comes with an advanced IVR and conversational AI functionality that caters primarily to voice-based customer interactions. It uses Natural Language Processing powered by Google Dialogflow and IBM Watson, ensuring your callers get the help they need quickly.  

Key features: 

  • Offers queue callbacks if all live agents are busy when a customer calls
  • Helps automate call routing intelligently so that the customers don’t have to sit through a long menu of options 
  • Equipped to comprehend human language, it makes every voice-based interaction less robotic and more intuitive

Limitations

  • There is no option for an AI voice to generate the phone tree. (G2)
  • The initial setup process can take some time. (Capterra)

Pricing

  • Essential: $18.95 per month when billed annually 
  • Professional: $22.95 per month when billed annually
  • Enterprise: $32.95 per month when billed annually

Nextiva ratings & reviews

  • G2: 4.5/ 5 (3100+ reviews)
  • Capterra: 4.6/ 5 (890+ reviews)

8. Kustomer 

Best for unified cross-channel customer insights 

Kustomer is a customer service platform built with an AI-powered extension, Kustomer IQ. It encompasses an AI-powered customer service bot and an agent assist, which work together to boost agent efficiency. With a unified, multichannel view, customer support agents can drive customer engagement and deliver hyper-personalized service. 

Key features

  • Empowers support teams with in-depth customer insights to deliver proactive customer support
  • Provides agents with communication prompts for smoother and more engaging customer interactions
  • Automates customer resolution with conversational answers derived solely from your support content 

Limitations (Capterra)

  • The tool is on the expensive side, as it only takes on companies that can purchase 8+ seats, so it may not be suitable for small businesses. 
  • It is reported to have a steep learning curve

Kustomer ratings & reviews

  • Capterra: 4.6/ 5 (50+ reviews)
  • G2: 4.4/ 5 (420+ reviews)

Pricing

  • Enterprise: $89 per month
  • Ultimate: $139 per month

9. Zoho Desk 

Best for automated ticket management and assignment

Zoho Desk is another popular customer service platform that helps you track and manage customer requests efficiently. Its built-in AI assistant, Zia, helps streamline support ticket resolution with the help of knowledge base bots, ticket tags, sentiment analysis, and field predictions. 

Key features

  • Offers a self-service portal for every brand’s customer 
  • Delivers customer sentiment insights for every customer conversation 
  • Helps support teams frame the best responses by using context, FAQs, and templates

Limitations (G2)

  • Some advanced features and customization options can be complex and require a steep learning curve
  • Some features that companies would regard as essential may only be accessible on the top-tier plans

Zoho Desk ratings & reviews 

  • Capterra: 4.5/ 5 (2100+ reviews)
  • G2: 4.4/ 5 (5600+ reviews)

Pricing (Source)

  • Free Plan: Available 
  • Express: $7 per user per month when billed annually
  • Standard: $14 per user per month when billed annually
  • Professional: $23 per user per month when billed annually
    Enterprise: $40 per user per month when billed annually

10. Intercom

Best for multilingual and omnichannel support 

  When it comes to AI customer service software, Intercom is another name that deserves to be mentioned on this list. Intercom’s AI chatbot, Fin, uses internal support content to deliver conversational answers to customers. The platform is built to manage customer communications across channels and in different languages. 

Key features: 

  • Customizable answers that allow you to take a call between LLM-generated answers and predefined statements 
  • Sends responses from multiple resources like Intercom articles, PDFs, and public URLs for an optimum resolution
  • Delivers timely responses and supports a smooth onboarding experience 

Limitations (Capterra)

  • Offers a basic voice calling feature but may lack advanced options for call routing, recording, or analytics
  • Provides limited tools for monitoring agent performance, call quality, and customer satisfaction
  • May have difficulties integrating with custom-built systems or legacy applications 
  • The pricing structure can be a bit steep

Intercom ratings & reviews

  • Capterra: 4.5/ 5 (1000+ reviews)
  • G2: 4.5/ 5 (3000+ reviews)

Pricing (Source)

  • Essential: $39 per seat per month 
  • Advanced: $99 per seat per month
  • Expert: $139 per seat per month

What is AI customer service software?

AI customer service software are solutions that automate, facilitate or enhance different elements of your customer service. Encompassing a wide range of solutions, customer service AI tools use Natural Language Processing (NLP), machine learning and generative AI to tackle support-related issues. It is designed to understand and respond to customer inquiries, handle routine tasks, and deliver valuable insights, freeing human agents to focus on more complex tasks. 

How to use AI customer service software? 

When it comes to modern AI customer service tools, there is a whole universe of solutions that help reduce agent workload and boost overall efficiency and quality of support. These include: 

AI chatbots for handling routine inquiries 

AI chatbots are automated chat systems that interact with customers in real time, typically on your website, mobile app, or voice. Instead of deploying a human agent to handle every query, an AI chatbot can field simpler customer requests and questions.

An AI chatbot does a phenomenal job of handling basic queries like billing information, subscription upgrades, and FAQs, significantly reducing pressure on your customer support team without compromising on the quality of the experience.

Voice bots and virtual assistants to greet and guide customers

AI voice bots and IVR (Interactive Voice Response) systems manage voice-based interactions. Not only can it be used to greet and guide customers but also to help them schedule appointments, conduct product walkthroughs, and generate basic information. 

Automated call distribution systems for efficient query resolution 

The agent-to-customer ratio can be skewed, with more customers trying to connect with a limited number of agents. This means agents need to prioritize which customers they should attend to first.

To top this off, additional time is lost in the process of navigating and handing off calls to the concerned agent or department. An automated call distribution system, also known as an automated ticketing system, helps you efficiently route calls and get customers to resolution at a much faster rate. 

Predictive analytics for anticipating and adapting to customer needs

Predictive analytics is a transformative AI solution that captures and analyzes customer data. This data helps you anticipate customer problems or needs so that you can offer more proactive customer support instead of waiting to put out the fire when it’s too late. 

AI-powered knowledge base for customer self-service

An AI-powered knowledge base is also a vital AI-powered customer service software that allows for faster first-touch resolution. It taps into advanced technologies like NLP and ML to provide instant, accurate answers to customer queries.

An AI-powered knowledge base is typically integrated into an AI chatbot that allows customers to self-navigate through their queries easily, moving all your elementary customer queries out of the way. 

Plivo CX: The finest AI customer service software for your business

AI has set a new benchmark for how customer service teams manage interactions, streamline processes, and handle customer requirements. The right AI-enabled customer service software can set your customer support agents up for success and foster customer loyalty. Plivo CX is an ideal AI customer service solution because it offers a range of features that create the perfect blend of human support and OpenAI-driven responses. As a case in point, its intuitive chatbot offers a round-the-clock, personalized customer experience with minimal need for agent involvement. The platform achieves this without compromising on support quality and guarantees prompt assistance to customers while helping agents maximize their productivity. Ready to upgrade your customer support? Book a demo to learn more.  

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