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

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

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

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

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

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

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.

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.

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
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.

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
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.

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)
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
- 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.
- 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.
- 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.
- 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.
- 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.

RCS vs. SMS: Comparing Messaging Technologies
Compare RCS vs. SMS with their differences, use cases, and business advantages to choose the right strategy for customer engagement.
There are over 8.58 billion mobile subscriptions worldwide, making text messaging a game changer for how businesses connect with customers. Short Message Service (SMS) has long been a reliable and universally compatible choice for communication. Rich Communication Services (RCS), on the other hand, introduces advanced capabilities like rich media, read receipts, and branded messages that transform interactions.
While SMS boasts a massive user base of 9.3 billion subscribers, RCS has grown to 1.2 billion users, sparking a heated debate: RCS vs. SMS.
Engaging Android phone users through RCS chats or relying on SMS for a broad reach both offer unique advantages.
When businesses compare RCS and SMS, the key differences often include interactivity, compatibility, and cost. In this blog, we’ll explore SMS and RCS's features, business use cases, strengths, and limitations to help you find the right balance to meet business goals.
SMS: The standard since day one
SMS is a communication protocol that allows users to send short, text-only messages between mobile devices. It relies on cellular networks and not on an internet connection.
Therefore, it has been the backbone of mobile text communication for decades, as it virtually works with all mobile devices, including basic phones.
Are SMS and iMessage the same?
No, SMS and iMessage are not the same.
iMessage offers interactive features and allows multimedia-rich content sharing between two iOS devices. SMS only sends short, text-based messages between all mobile devices.
RCS: The new feature-rich customer engagement stream
RCS is an upgraded messaging protocol that relies on Wi-Fi or cellular data. It delivers an interactive experience with support for high-resolution multimedia, group chats, and other advanced features.
Are RCS and iMessage the same?
No, while they share similar features, RCS and iMessage differ.
iMessage is exclusive to Apple devices, while RCS is a universal protocol supported by various messaging apps on compatible devices.
RCS vs. SMS comparison
Let's explore the key differences between RCS and SMS for businesses evaluating their messaging strategies and deciding which option is best for them.
SMS vs. RCS messaging for businesses
SMS remains a cornerstone of business communication due to its universal compatibility with mobile devices and reliance on a cellular network.
Industries across the globe leverage SMS for fast, real-time connections—none more critical than emergency response services.
For example: Flight Vector, a dispatch solution provider for emergency medical services, revolutionized operations by adopting SMS through Plivo’s SMS API.
- The Challenge: Outdated pagers and unreliable email systems slowed emergency communications. Blocked messages or delivery uncertainty posed life-or-death risks.
- The Solution: Plivo’s SMS API delivered real-time confirmations, ensuring every critical alert reached the intended recipient.
- The Results:some text
- Over 460,000 SMS messages sent monthly without issues.
- Streamlined communication between dispatch centers, crews, and pilots.
- Real-time GPS updates for helicopter landing sites, improving response times and decision-making.
Flight Vector CEO Scot Cromer summed it up: “SMS is the future. If you don’t provide a texting solution, you’re going to be left behind.”
A 2022 survey showed a 75% increase in SMS usage due to its cost-effectiveness and ability to deliver messages even in low-network areas for critical alerts, notifications, and two-factor authentication (2FA).
RCS, on the other hand, provides businesses with interactive ways to connect with customers. Businesses are still realizing its potential — RCS adoption statistics suggest a 62% increase with 1.2 billion users. The growth comes with increasing RCS support from platforms like Google Messages and Apple.
Projections suggest an additional 900 million active users in the next two years.
Here’s a possible outlook for the mobile market in the coming years.

RCS: Use cases and advantages
Now that you’ve read about SMS's advantages and use cases, let’s focus on the benefits and potential use cases of RCS for business communication.
Deliver unforgettable customer experience
A Harvard Business Review survey noted RCS features provide richness in over-the-top (OTT) messaging with the universality of SMS.
Studies show that 90% of rich media messages are opened within 15 minutes, which increases customer engagement by up to 45 seconds per interaction. With RCS messages, businesses can engage users through:
- High-quality images, video messages, and GIFs.
- Delivery receipts and read receipts for transparency.
- Video calling capabilities for real-time interactions.
- Suggested replies and actions for seamless engagement.
- Location sharing to simplify navigation.
- In-message payment options for quick transactions.
- QR codes and sender verification for enhanced trust.
Harvard’s survey respondents emphasized the importance of these capabilities, with 81% highlighting the value of verified sender information.
Get verified for more trust
70% of consumers express concerns about the data security risks of brand texts. This is where RCS messaging’s most impactful features come into play — sender information verification.
Verification builds trust and helps brands avoid being flagged as spam. A verification authority, such as a mobile network operator (MNO), chatbot platform provider, or other specialized entity, can authenticate brands using RCS text messages.
Once verified, your brand’s logo, name, and status badge (e.g., a checkmark) will appear at the top of the conversation within the messaging app. Verified senders can confidently deliver messages to foster credibility and secure interactions across RCS-supported devices.
Merge RCS and OTT to develop better content
RCS is a powerful protocol that can complement existing communication channels like OTT to build trust and boost engagement.
Industries like healthcare and hospitality can leverage OTT for RCS communications to manage appointments, send reminders, and provide live support. For example, a hospital can use an interactive button to prompt patients to “schedule now” and book appointments directly through text.
Plivo’s WhatsApp Business API makes it easy for users to deploy WhatsApp for customer engagement with a low-cost solution. You can share rich media, including images, videos, documents, customized call-to-action (CTA) buttons, etc.
Also read: Quick Onboarding Guide to Get Started with the WhatsApp API
Get more conversions by utilizing customer data
With RCS features, businesses can showcase multiple products in a single message using image carousels, media cards, and GIFs. These chat features enhance the shopping experience when paired with CTA buttons that direct customers to checkout.
When RCS messaging becomes a tool in your omnichannel strategy, you can leverage customer data from sales, marketing, and operations to deliver personalized experiences.
Integrate RCS messages with your existing systems and channels and send engaging, media-rich promos to captivate audiences and drive conversions.
SMS: Use cases and advantages
Here is a list of SMS use cases and advantages that drive the trend.
Win trust with a personal connection
According to the Validity 2023 report, 19% of consumers prefer receiving updates via text messages, surpassing social media (16%), app notifications (6%), and direct mail (6%). This highlights the trust and reliability associated with SMS.
Additionally, SMS goes straight to the native messaging app. A direct connection to your customer’s mobile device makes communication much more personal than other channels. When recipients get a direct ping in the notification bar, they often read the text within seconds.
Businesses must implement effective SMS opt-in and opt-out mechanisms to ensure compliance and build customer trust.
Get an unbeatable return on your investment
SMS marketing is a standout performer for CFOs seeking measurable financial impact. It offers a cost-effective strategy for businesses of all sizes with almost 100% open rates, 45% response rates, and an unmatched return on investment (ROI) of $21-$40 for every $1 spent.
SMS is an ideal channel for time-sensitive communications, from flash sales to urgent updates. SMS short codes for high-volume messaging enable faster, more efficient customer engagement for events like Black Friday, during which SMS marketing has been shown to deliver an impressive ROI of up to 7433%.
To secure and seamlessly implement SMS for critical notifications like authentication, businesses can integrate Plivo with Okta for SMS verification.
Pro Tip: Combine SMS's universal reach with RCS's interactive features to watch your engagement metrics go through the roof.
Here’s a quick comparison table for engagement metrics for RCS vs SMS.
Do not worry about algorithms
Marketing on platforms like Google and social media often means playing with ever-changing algorithms that dictate content visibility.
Google's ranking criteria frequently change with core updates, while shifting social media algorithms can impact organic reach, forcing brands to rely more on paid promotions. These constant shifts create endless frustration and uncertainty for marketers.
On the other hand, SMS marketing offers a stable and reliable alternative.
Unlike search engines or social media, algorithms don’t control SMS content reach. Every SMS message lands directly in the recipient's inbox, giving you full control over communications without fighting for visibility or adapting to shifting guidelines.
Deliver messages with more impact
Human attention spans are shrinking, and SMS marketing can address this. Unlike long emails or intrusive calls, SMS delivers concise, high-impact messages that grab attention instantly.
SMS open rate is three times better than email marketing (37.3%), and the response rate is 9.3 times greater than cold calls (4.8%).
It drives this high engagement with a direct, to-the-point approach, ensuring readers focus on the message and the call to action without distractions.
Which media and devices support RCS and SMS?
SMS remains universally supported on all cellular devices connected to a network, ensuring reliability even without data connectivity.
RCS was initially available only on Android phones through Google Messages. However, RCS business messaging (RBM) was added to iOS 18.1. Now, iOS supports RCS for iPhone users for person-to-person (P2P) messaging in select markets.
While a global rollout is pending, this integration improves messaging between Android and Apple devices. Users can check and enable RCS messaging in their app’s chat features settings.
Find a solution no matter your messaging strategy
Choosing the right messaging protocol depends on your goals and audience. Consider the following when comparing RCS vs. SMS:
Choose RCS when:
- Visual appeal matters: It provides visually engaging messages with rich media like images, videos, and GIFs, perfect for campaigns prioritizing aesthetics.
- Interactivity is key: Features like buttons, suggested actions, and forms allow better audience interaction for engagement and conversion rates.
- Enhanced branding is a priority: Custom branding with logos and colors can deliver a consistent and professional brand presence.
Choose SMS when:
- Wider reach is necessary: Given that all mobile phones, even older or less advanced devices, support it.
- Immediate and direct communication is vital: SMS gets delivered instantly, making them ideal for time-sensitive updates like promotions or alerts.
- Budget constraints exist: Carrier plans often include SMS without additional costs.
A hybrid approach combining SMS and RCS offers the best results for most businesses. However, it’s important to note that RCS adoption is limited due to its data network reliance, device compatibility, and higher costs.
On the other hand, SMS still has an edge in business communication as it offers universal compatibility, cost efficiency, and dependability across all devices. SMS notification services are the best choice for small to medium-business solutions where budgets are often a restraint.
Get started with Plivo’s SMS API
No matter your goals, the right messaging solution can drive success in conversational commerce.
SMS not only supports customer communication but also plays a vital role in secure and seamless authentication processes. Whether you're managing account verifications, login security, or two-factor authentication, SMS offers unmatched flexibility, enabling businesses to scale operations during peak demands without incurring significant costs or logistical challenges.
Plivo bridges this need with its Verify API, delivering reliable and cost-effective authentication. Designed for effortless integration and maximum reliability, Verify API ensures:
- Zero authentication costs
- Free Fraud Shield for enhanced security
- No regulatory complications
- Reduced technical support overhead
Coupled with Plivo’s easy-to-integrate SMS API, businesses can deliver impactful messages while managing authentication at scale — all without hesitation or hidden fees.
Plivo provides a complete messaging solution with support for both RCS and SMS, all tailored to your business needs. Contact us to get started today!

Chatbot vs. Conversational AI: What’s the Difference?
Explore the distinctions between a chatbot vs. conversational AI, their unique applications, and how to choose the right solution for your needs.
As of 2024, 82% of consumers would rather chat with a bot than wait for a customer service agent. This indicates that chatbots are transforming customer service, making them a must-have tool for businesses everywhere.
Conversational AI platforms are taking customer service further, offering smarter, more human-like interactions that improve marketing and customer engagement.
While “chatbots” and “conversational AI” may seem interchangeable, they differ significantly in scope, functionality, and use cases.
Chatbot vs. conversational AI: How do these two solutions compare, and which suits your business needs? Read on.
What is a chatbot?
A chatbot is a computer program designed to respond to customer queries. When a customer tries to initiate contact through your website or another communication channel, a chatbot will identify and resolve the customer's query.
It can also initiate a conversation with an opening sentence such as ‘How can I help you today?’. The user then has a set of pre-defined answers to choose from and carry the conversation forward.
Conventionally, a chatbot works on if-this-then-that logic. So it gives straightforward answers to queries.
There are three primary types of chatbots:
Rule-based
These chatbots operate based on predefined rules and scripts. This means they can only respond to specific inputs or keywords. Think of a basic FAQs support chatbot that answers commonly asked questions about the store’s business hours, product return/cancellation policies, etc.
AI-based
AI chatbots for business, on the other hand, use natural language processing (NLP) and machine learning (ML). They understand and respond to complex queries in a human-like, context-aware manner.
For example, Google Assistant is an AI-based chatbot that handles varying tasks from appointment reminders to answering general knowledge questions.
Hybrid
These chatbots combine the strengths of both rule-based and AI-based systems. They follow pre-defined rules to answer basic queries but can also use AI for more complex, contextual conversations.
Businesses can configure a hybrid chatbot across communication channels like live chat, messaging apps (WhatsApp, Messenger, etc.), and in-app messaging. Given the hybrid model, these chatbots are more versatile than the other two. Several industries can integrate them into their communication systems.
Businesses can also create AI chatbots for automation by integrating conversational AI, given it’s developed on a scalable platform.
What is conversational AI technology?
Conversational AI technology provides more advanced and dynamic solutions to customer queries.
While conventional chatbots follow scripted responses, conversational AI technology consists of NLP, ML, and automatic speech recognition (ASR) to carry out human-like conversations. Here’s their function explained:
- NLP: Helps the system understand and interpret human language and nuances such as tone, intent, and context.
- ML: Supports AI self-learning with past customer interactions and behavior.
- ASR: Converts spoken words into text so that you can integrate voice-based interactions in conversational AI systems.

Normal chatbots handle FAQs, while conversational AI adapts to user preferences and makes conversations based on their input.
For instance, Plivo-powered AI voice agents use conversational AI to provide real-time customer service. They can act as a personal shopping assistant for customers, automate routine financial transactions, break language barriers in customer support or learning, and even provide personalized health assessments to patients.
Chatbot vs. conversational AI chatbots at a glance
Here’s a table stating the differences between a chatbot and conversational AI.
Use cases for chatbot vs. conversation AI in customer service
Chatbots aren’t just a passing trend. In fact, Gartner states that chatbots will become the primary customer support channel by 2027. However, how can you include them in your existing communication systems? Let’s explore.
Use cases for chatbot
Here’s a quick rundown of the specific use cases for chatbots.
Appointment scheduling
Chatbots streamline appointment scheduling by automating the process. They let customers book, reschedule, or cancel appointments 24/7, eliminating the need for staff intervention.
They can also send reminders, reducing no-shows and ensuring a positive experience for businesses and customers.
Order status updates

Updating customers about order statutes from confirming orders to tracking shipments, can chip away a big chunk of your agents’ time. In contrast, chatbots instantly respond to customer inquiries like “Where is my order?” or “What’s the estimated delivery time for x product?”.
Customers don’t need to wait for an agent to answer these queries, which significantly improves satisfaction rates while saving time and resources.
Answer FAQs
An IBM report states that chatbots can resolve up to 80% of routine customer inquiries. Imagine the time this saves up on your resources. With chatbots, customers get the answers they need without waiting 48 hours for an email response because of a holiday or an agent's unavailability.
It can handle frequently asked questions like inquiries about product features, order-related updates, shipping updates, refund/return requests, etc.
Loan applications, payments, and billing assistance
While e-commerce and healthcare have picked up on integrating chatbots into their customer service, the banking sector is no exception.
Chatbots can help users with payment due dates, loan application updates, and billing breakdowns. Simply create a bank interactive voice response (IVR) menu, and integrate it into voice-enabled bots to make customer support easier. It’ll automate routine queries and reduce operational costs.
Customer feedback collection
Businesses go out of their way to solicit customer feedback. While you can use the rule-based bots to ask customer feedback questions, take it a notch up with conversational AI. The bot then sends a feedback form to the customer after an item is sold or a task is performed.
For example, you may use it to ask users about:
- Their experience with the product.
- The delivery process.
- If the product/item met their expectations, etc.
- How they would like the product/shopping experience to be better.
Use cases for chatbots with conversational AI
You can integrate conversational AI and build on previous use cases of basic chatbots to move beyond scripted responses. However, let’s explore specific conversational AI use cases that can benefit business operations.
Personalised product recommendations

Conversational AI platforms have access to customer data, including their browsing history, purchase behavior, etc. These bots use the data and recommendation algorithms to suggest specific or complementary products.
So a generic customer query about a mobile phone narrows down to a specific model that fits their budget.
From discovery to checkout, these bots can handle the entire funnel. Use it to help customers compare products, suggest similar products, and apply discounts or upselling based on previous purchases.
Text-based bots are sufficient for a target audience that prefers texting over speaking. However, voice-enabled bots provide more convenience and feel more personalized to customers. Plus, launching context-aware voice bots is simpler than you think.
For instance, Plivo-powered voice agents integrate easily with any speech-to-text (STT), large language model (LLM) or text-to-speech provider of your choice to get started.
You can learn all about AI voice bots and their use cases in this guide.
Intelligent IVR systems
Say a customer chats with the bot and the bot transfers the call to the right agent for a nuanced response. What happens during the time between the transfer and when the agent picks it up? Typically, customers hear music or are provided with a waiting number.
However, you can maximize IVR menu efficiency with pre-answers. Create multilevel IVR menus with audio or text for prompts. Specify exactly what happens after a call is transferred before it's picked up to add value to the customer journey.
For example, if a call is transferred to a department frequently asked the same questions, you can record answers to those common queries and play them for the caller while they wait. This reduces call drops and provides information to customers upfront.
Multilingual support
Language barriers can significantly hurt your customer support strategy. The best chatbots for customer service are designed to be customer-friendly, meaning they understand and respond in the same language as the caller.
Conversational AI bots solve this by instantly switching between languages and providing personalized, native-like assistance, removing the need for multiple agents or long wait times.
Dynamic query resolution
Complex questions often lead to frustration with standard chatbots. AI-powered bots analyze the intent behind queries, offering precise solutions instead of generic responses, saving time and reducing escalation rates.
Since the bots understand the sentiment behind the words, they offer solutions after analyzing the tone of the conversation. While text-based input works well for sentiment analysis, voice-enabled bots can achieve similar insights by transcribing voice inputs into text for deeper customer analytics.
Advanced after-sales support
After-sales support issues including troubleshooting or warranty claims often take too long. AI bots streamline this process by guiding customers step-by-step, scheduling follow-ups, or handing unresolved cases to human agents without delays.
Fraud detection and prevention
Suspicious activity can compromise customer accounts.
AI bots monitor patterns, flag risks, and trigger security protocols like verification requests or account freezes, keeping customer data and transactions safe in real time.
Along with these, winning back abandoned carts, offering discounts and offers, streamlining the help desk or ticketing system, etc. are some of the top AI sales bot use cases.
Chatbot vs. conversational AI: What the future holds
Artificial intelligence in customer service is just the beginning.
Looking ahead, conversational AI is set to expand beyond traditional customer support. It will take on roles as virtual healthcare assistants for patients, personal tutors, and investment advisors, and even offer even more personalized recommendations in entertainment and retail.
As AI continues to leverage more user data, companies will face increased pressure to ensure compliance with data privacy regulations like the General Data Protection Regulation (EU) and California Consumer Privacy Act (CCPA).
The future of conversational AI will require businesses to prioritize safeguarding user data — such as clearly disclosing when a bot is interacting rather than a human agent. To keep up with these demands, conversational AI systems will be designed with built-in compliance features to meet evolving privacy standards.
Ultimately, natural language processing in AI promises more sophisticated, smart, and intuitive communication systems.
Chatbot vs. conversational AI chatbot: Which to choose when?
The decision between a chatbot and a conversational AI chatbot hinges on your business needs and the complexity of customer interactions.
For small and medium-sized enterprises (SMEs) that want to handle routine queries efficiently, chatbots are a great choice. They excel as triage systems, routing simple inquiries to the right channels and saving valuable time for your team.
Before implementing it, ask: How will your business benefit from automating basic customer concerns?
Whether it’s saving time, freeing up agents for more complex tasks, or helping with customer acquisition, understand the potential impact on your business goals.
Conversational AI chatbots, however, are ideal for more nuanced customer service needs. They’re particularly useful when you require multilingual support, the ability to handle multiple intents in a single conversation, or context-aware solutions.
Use chatbots for automation at the top of the funnel for initial contact, lead capture, or general inquiries. As customers move down the funnel, integrate conversational AI for detailed product inquiries, after-sales support, and nurturing client relationships.
Take the first step to automation with Plivo’s Voice API
For many SMEs, diving straight into conversational AI can feel like a big leap. Hence, if you’re looking for a solution that doesn’t require hefty investments, Plivo’s Voice API is the perfect starting point.
Plivo's Voice API easily integrates with your choice of speech-to-text, text-to-speech, and language model providers to build smart IVR systems. With smart IVR capabilities, you can automate routine tasks, direct calls to the right agents, and save valuable time for you and your customers.
In addition, Plivo’s Voice API supports straightforward integration with leading AI providers, including OpenAI’s speech models. Using our simple integration endpoints, you can test the language model’s ability to transcribe voice to text before deploying your IVR system. The setup is easy, requires minimal technical expertise, and adapts effortlessly to your evolving needs.
For example, you can build an IVR to automate common queries like checking account balances or updating personal information, allowing your agents to focus on more complex issues. Plus, its voice API supports key features like call forwarding, global conference calling, and call recording for in-depth analytics, providing high-quality services that meet customers’ needs.
Plivo’s reliable coverage in over 220 countries and territories, 99.99% uptime guarantee, and less than 2-second call rerouting in case of failovers amplify all these benefits.
Start simple, and scale smart. Contact us to build an integrated and intuitive communication system.

12 Contact Center Technologies and Trends to Keep an Eye On
Discover the top contact center technologies that streamline operations and empower agents to deliver exceptional customer experiences.
Delivering great customer experiences requires quick responses, personalized interactions, and communication through the customer’s preferred channels. Yet, managing high call volumes, addressing complex requests, and meeting ever-growing expectations can make this a significant challenge.
Modern contact center technologies can bridge this gap with tools that streamline operations, improve customer communication, and empower contact centers to meet customer expectations.
In this blog post, we’ll explore the top 12 contact center technologies transforming customer interactions and how they can benefit your business.
1.VoIP
A Voice over Internet Protocol (VoIP) system lets businesses make and receive phone calls over the Internet, removing the need for outdated landlines, desk phones, mobile devices, and computers. However, the benefits of switching from legacy landline systems to VoIP go beyond cost savings and improved call quality.
A reliable VoIP system:
- Eliminates the need for desk phones and outdated systems.
- Offers add-ons like two-factor authentication (2FA) to verify callers and reduce fraud calls, smart interactive voice response (IVR) scripts for streamlined self-service, and call routing to connect customers with the right agents.
- Minimizes dropped calls and ensures crystal-clear communication.

If your contact center manages a high volume of customer inquiries, use a reliable VoIP system to ensure consistent communication and reduce call drops. Apply best practices to improve implementation and achieve better communication outcomes.
2.CRM integration
A Customer Relationship Management (CRM) system houses detailed information about previous customer interactions, their preferences, purchase history, and more. When you integrate this rich data into your contact center, agents get a comprehensive view of each customer to provide highly personalized assistance.
With this data readily available, agents can quickly identify previous issues or anticipate future needs, leading to faster resolutions and a better overall customer experience.
3.Call recording
You can capture customer interactions with call recording tools and gain valuable insights from them. For example, if customers frequently complain about a specific product, the tool captures this feedback. You can then use this data to improve the product’s quality, determine whether the issue is with marketing or product design, and train your staff accordingly.
Moreover, you don’t need to worry about customer data privacy as these tools encrypt the recordings.
To further improve customer experience, opt for an automated call transcription feature tool. Transcribing calls improves customer insights with more accurate analysis, helping you identify trends and address issues more effectively.
Analyze call recordings alongside contact center performance metrics and agent productivity tools to pinpoint areas for improving agent training or call-handling strategies.
4.Call queuing
Customers dislike waiting, however, call queuing systems make the experience more manageable. They inform customers of their expected wait times, play custom messages, and offer callback options. It’s one of the most effective contact center technology trends, especially when managing a surge of customer calls.
Such transparency reduces caller frustration and improves agent productivity. Some cloud-based contact centers also have automated callbacks, allowing customers to hang up without losing their spot in the queue.
You can even customize queues with maximum wait times and personalized messages or music with providers like Plivo. It further optimizes your call queuing strategy with insights into average wait times, dropped calls, and peak hours.

5.Smart IVR systems
An IVR is one of the most important self-service options in contact centers, helping manage customer requests efficiently while enhancing service quality. It routes customers to the appropriate agent based on input or responds to queries given there's a script for that particular use case.

However, smart IVR systems don't require traditional training. They use machine learning to process customer interactions and provide context-based resolutions.
The system captures the customer's audio input and an AI bot analyzes and processes the request, generates a context-aware response, and delivers it in real-time to the customer.
They provide dynamic routing, proactive customer engagement, speech recognition, real-time transcription, and call analysis to create a more intuitive customer support experience.

You can use IVR systems to:
- Accept payments securely.
- Localize services with multiple language options.
- Route calls effectively based on customer input or intent through voice prompts or keypad input.
- Conduct surveys and gather feedback.
- Assign and prioritize inbound leads for sales calls to the right agents.
- Confirm customer availability for service or delivery dispatch through automated calls.
Pro tip: You can build a smart IVR using Plivo-powered AI voice agents to enhance your customer experience.
6.Automatic Call Distributor (ACD)
Automatic call distribution systems intelligently route users to the right agents, making it an important part of contact center automation. This ensures that customers are connected with the right agents at all times.
The system routes works based on:
- Skill-based routing: Routes callers to agents with particular skills or training based on their needs
- Time-of-day routing: Routes calls to agents depending on their time zone.
- Priority-based routine: Routes callers with urgent issues to the top of the queue.
ACD eliminates the need for manual call forwarding or transferring, reducing wait times and improving overall customer experience.
7.Chatbots
The adoption of artificial intelligence (AI) in contact centers is on the rise, and AI-powered customer service chatbots are leading the charge. These virtual assistants for contact centers handle routine customer queries without the need for live agents, significantly reducing agent workload. They serve as round-the-clock virtual agents who are ever-ready to field queries, convert leads, and reduce customer support costs by up to 30%.
Use it to perform straight-forward tasks such as:
- Scheduling appointments.
- Answering FAQs.
- Taking meal orders.
- Offering discounts and offers.
- Identifying promising leads.
- Streamlining helpdesk operations and ticketing systems.
If a chatbot fails to answer a query, it will transfer the call to an agent for a more contextual response.
8.Omnichannel customer service
The best customer experience comes from consistent support across multiple channels like SMS, voice, video, and live chat. Omnichannel customer service empowers agents to engage with customers across these various channels, providing a cohesive experience. They can easily transition between channels or even manage multiple channels at once.

Without integrated contact center channels, agents may have to switch between different platforms to review past interactions. This leads to repetitive questions, frustrated customers, and a negative impact on the experience.
9.Call analytics
Real-time and historical call analytics provide insights into performance metrics like call quality, resolution times, and call drops. AI in contact centers can even interpret the tone and emotions behind customer interactions — whether frustration, satisfaction, or confusion — and personalize responses accordingly.

Plivo provides an in-depth analysis of potential issues, both reported by users and identified through system checks. This data helps improve agent training and streamline contact center operations.

10.Cloud-based solutions
Cloud-based contact center software solutions ensure high availability, automatic updates, and integration with CRM, agents' productivity tools, and other customer experience tools. They also facilitate remote working as long as there's a stable internet connection.
Many cloud solutions complement your existing system rather than replace it outright.
For example, you could improve your current infrastructure by integrating channels like live chat, SMS, or video calls into your traditional phone systems.

11.Conversational AI
Conversational AI is transforming how contact centers operate.
A survey in the 2024 State of the Contact Center Report found that 30.4% of users said 'Yes' and 69.6% said 'Maybe' when asked if they’re considering using AI tools to improve contact center operations.
Launching context-aware voice bots that mimic human interactions ensures natural conversation flow by detecting speech onset and end. These AI-powered chatbots preserve the emotional nuances and tone of the customer, giving agents more access to deeper customer insights.

12.Sentiment analysis
Sentiment analysis empowers contact centers to gauge customer intent and recommend actions in real-time to meet their needs.
Say you’re a retail contact center receiving a call from a customer frustrated about a delayed delivery. The system integrates audio streaming via WebSocket, AI-driven transcription, and sentiment analysis to capture audio and transcribe it in real-time

AI tools analyze the conversation and detect frustration in the customer’s tone, tagging it as negative sentiment. The system then alerts the agent in real-time, prompting them to prioritize empathy and offer an immediate solution, like expedited shipping or a discount.
This proactive approach not only boosts call quality assurance but also improves overall customer satisfaction.
Future of contact centers
Conversational AI will be the key driver of customer service in the next decade.
Chatbots are already moving from straightforward query resolution to contextual resolutions. It’s clear that as AI evolves, its focus will shift from reactive problem-solving to proactive engagement. It’ll predict customer behavior, anticipate issues, and provide solutions in real-time.
However, there’s a flip side to this.
With AI addressing routine queries, support agents will handle complex and emotionally charged situations. This requires specialized training in empathy and creative problem-solving, areas AI cannot replicate.
Data privacy is another key concern. AI systems must comply with strict regulations like the General Data Protection Regulation (EU) and the California Consumer Privacy Act (CCPA). Businesses must develop robust data governance policies and provide employee training to guarantee compliance and customer trust.
As AI brings efficiency and scalability, human empathy remains vital. The future of contact centers lies in a hybrid model where AI improves, not replaces, human agents, encouraging valuable and meaningful connections.
Integrate these call center technologies with Plivo
To deliver a standout customer experience, you need to understand your customers' needs and meet them where they are. Plivo's Voice API is the perfect start to this. It lays the foundation for advanced, intelligent communication systems — empowering contact centers to operate more efficiently.
It easily integrates into your CRM and Business Intelligence (BI) tools to create a unified system. This ensures every interaction is backed by customer history and insights. Moreover, smart IVR scripts are among the best customer self-service options in contact centers.
Rely on Plivo to take care of routine queries like bill payments, appointment scheduling, or order tracking. You can automate these queries and free agents to focus on complex, high-value issues.
Plivo also offers real-time call analytics. You get detailed insights into performance metrics such as average resolution time, call quality, and sentiment analysis. This way, you can identify peak call times, optimize staffing, and address service bottlenecks proactively.
These benefits stem from Plivo's commitment to ensuring reliable connectivity, low latency, and exceptional call quality across 220+ countries and territories. Plivo’s seven global points of presence guarantee 99.99% uptime, crystal-clear 16kHz voice quality, and rapid rerouting in under 2 seconds during failovers.
Ready to take your contact center to the next level? Start by integrating Plivo’s Voice API and progressively incorporate these contact center technologies to drive automation.
Contact us to create a smarter, more efficient, and customer-centric contact center.

What Is an SMS Gateway and How Does It Work?
In this guide, explore what an SMS gateway is, how it works, and why businesses rely on it for bulk messaging, marketing, and customer engagement.
Text messaging is a highly effective tool for businesses, with SMS boasting a 98% global delivery rate. This reliability makes it ideal for reaching customers quickly and consistently.
However, managing high volumes of customer communications manually can be challenging for businesses. An SMS gateway makes it possible for a broader range of devices and applications to communicate with each other.
Whether you want to launch a marketing campaign, send automated alerts, or engage in two-way conversations with customers, an SMS gateway simplifies the process.
Using SMS gateway services, you can send a message from your computer to a phone (or vice versa).
In this guide, we’ll dive into how SMS gateway providers work, the different applications of SMS gateway services, and how you can choose the right provider for your business’ needs.
So, let’s begin!
What is an SMS gateway?
An SMS gateway is a technology that allows software applications or computers to send text messages to mobile phones. Often, messages sent from a computer are not in a format that’s compatible with SMS. In such cases, SMS gateways serve as translators, converting the message into a format that mobile devices can understand.
The main job of an SMS gateway is to ensure the message is compatible with mobile networks. Businesses use SMS gateways to send bulk text messages to customers directly from a computer or software platform.
Interestingly, SMS gateway services can also work in reverse, allowing mobile users to send messages back to computers.
While previously SMS gateways were offered as physical hardware with SIM cards and embedded radios, businesses and consumers no longer need hardware-based solutions today. Instead, they use cloud-based systems that seamlessly translate and transmit messages.
These advancements are powered by SMS APIs, which allow messages to be delivered to specific devices at the right time, without the need for physical hardware.
How does SMS gateway technology work?
Here’s a simple step-by-step breakdown of how modern SMS gateway services operate:
- Create the message: Compose your text message within your business application.
- Send via API: The message is sent to the SMS gateway through an SMS API.
- Convert the message: The gateway uses protocols like HTTP or SMPP (Short Message Peer-to-Peer) to format the message for mobile networks. Protocols like SMPP play a key role in the smooth operation of SMS gateways. They enable fast and reliable communication between the gateway and mobile carriers, ensuring your messages reach their destination promptly — even during high-volume campaigns.
- Route the message: The gateway forwards the message to the appropriate telecom carrier.
- Deliver the message: The telecom carrier ensures the text reaches the recipient’s phone.
- Confirm delivery: The SMS gateway receives a delivery report from the carrier and relays it back to your application, confirming the message was received.
Imagine you’re running SMS marketing campaigns and want to send a promotional text to all your customers. Your audience is spread across the U.S., using different carriers like AT&T, Verizon, or T-Mobile.
Instead of dealing with each network separately, an SMS gateway simplifies the process. You connect once, and the gateway handles the rest — distributing your message to everyone at the same time, no matter which network they’re on.
Types of SMS gateways
When it comes to SMS marketing campaigns, two types of SMS gateways are most commonly used:
Email to SMSThis type of gateway converts email messages into SMS format, ensuring they meet the technical requirements for mobile delivery. It’s a two-way system, allowing businesses to send text messages to email inboxes and receive replies in return.
Web to SMSFrequently used by application-to-person SMS platforms, this gateway connects mobile phones with web applications. It enables businesses to send both SMS and MMS messages directly from a web application to recipients’ mobile devices. Web to SMS gateways are more feature-rich than other options, offering enhanced flexibility and functionality.
Applications of SMS gateways
SMS gateways have a wide range of applications for businesses and organizations, enabling them to communicate quickly and effectively with their customers. Here are some use cases:
Marketing campaigns
SMS marketing is a powerful tool for businesses to connect directly with their customers. It allows you to send promotional messages, special offers, and important updates right to your customers' mobile phones.
According to the 2023 Mobile Consumer Trends Report, SMS is a preferred communication channel for 52% of customers, making SMS an essential part of any marketing strategy.
A great example of effective SMS marketing is GoCheckin, an app developed by Fastboy Marketing.
GoCheckin helps beauty salons send appointment reminders and promotional messages to their clients. Fastboy uses Plivo as their communication platform and SMS gateway provider to efficiently handle high SMS volumes, ensuring seamless message delivery.
This switch made it easier for Fastboy to send texts without requiring customers to download an app.
Customer engagement
Text message gateways boost customer engagement by enabling businesses to send timely and personalized alerts and notifications.
Common use cases:
Appointment reminders
Appointment reminders are a highly effective way to engage customers and reduce no-shows.
Once you integrate an SMS API into your existing systems, when a trigger event occurs, for example, an appointment reminder, the system will communicate with the SMS gateway. The gateway then processes and sends the message to the customer's mobile network within seconds.
For example, a dental clinic could automatically send reminders to patients a day before their appointments, increasing the likelihood of attendance.
Customer feedback requests
SMS gateways make it easy for businesses to request feedback after a purchase or service interaction.
For instance, a restaurant might send a text asking customers to rate their dining experience. This provides valuable insights to help businesses improve.
Notifications and alerts
Automated notifications and account alerts keep customers informed and build trust. SMS is particularly effective for delivering quick and reliable updates about orders, security alerts, or account changes.
Businesses like ecommerce platforms use SMS to keep customers updated at every stage of their order process.
For instance, Luxer One, a California-based company that provides secure package lockers for residential properties, uses SMS to send package delivery notifications.
Previously relying on email, they found many residents overlooked or missed their emails, leading to uncollected packages and dissatisfaction. By switching to SMS, Luxer One achieved over 99% consistent delivery, improving customer satisfaction and the package pickup experience.
Similarly, Deckers, a footwear giant, uses SMS to keep customers informed about their order and delivery statuses.
After placing an order, customers receive real-time shipment updates via text until the package arrives. This transparency reduced track-package inquiries by 15–20% annually, significantly enhancing the overall customer experience.
Why should businesses use SMS gateways?
Effective communication is essential for businesses to engage customers, streamline operations, and improve efficiency. SMS gateways offer a reliable solution for sending text messages between businesses and their audiences.
Here are some benefits:
Reliability and speed
80.5% of consumers read SMS messages within five minutes of receiving a notification. This ensures that time-sensitive information, such as appointment reminders or transaction alerts, reaches recipients quickly.
Efficient bulk SMS messaging
Bulk SMS gateways leverage the SMPP protocol, enabling businesses to send large volumes of messages simultaneously without compromising speed or delivery rates.
This is particularly valuable for marketing campaigns, promotions, and mass notifications. For example, during major sales events, businesses can instantly reach thousands of customers, driving both engagement and sales.
Global reach with multilingual support
In today’s global market, businesses must communicate effectively across regions and languages. Some SMS gateway providers like Plivo enable international messaging to 220+ countries and territories while supporting localization features for various languages and cultural nuances. This helps businesses expand and connect with a diverse customer base.
Personalized and automated messaging
SMS gateway services provide other features for personalizing messages and automating communication. Personalization increases engagement by addressing customers by name and tailoring messages to their preferences.
Automation allows businesses to schedule messages, trigger responses, and manage follow-ups efficiently, reducing the need for manual effort.
Cost-effectiveness compared to other communication channels
Marketing your products or services can get expensive fast, and there’s no guarantee your efforts will hit the right audience.
That’s where an SMS API and SMS gateway come in.
They let you reach thousands of interested people quickly and at a fraction of what traditional marketing methods cost. It’s an efficient, cost-effective way to promote your business and make sure your message lands where it matters most.
How to choose the right SMS gateway provider
Most business texting platforms act as SMS gateway providers by leveraging cloud-based technology, enabling companies to send texts directly from a computer.
Choosing the right provider, however, is key to ensuring your SMS strategy works seamlessly. Here’s what to look for:
Coverage and international reach
Not all platforms deliver texts to every international number. Ensure your provider can reach the countries and numbers you need.
For example, Plivo uses test nodes in multiple countries to optimize delivery, ensuring fast and reliable messaging to 220+ countries and territories.
Moreover, Plivo’s built-in GSM Unicode character set lets your users communicate in any language, including Chinese, Japanese, and Arabic, and with symbols and emojis.
API availability and integrations
The right SMS gateway service should offer easy-to-use APIs and integrations with your existing systems. This makes adding SMS functionality to your workflows effortless.
Pricing and cost structure
Understand the platform’s cost structure, including message fees and any additional charges. For instance, Plivo offers competitive pay-as-you-go pricing.
Delivery speed and throughput
Fast message delivery is critical, especially when handling high volumes. Choose an SMS gateway that guarantees quick delivery without delays. Plivo, for example, dynamically manages message priority and expiry, handling message queueing for you.
Security and data privacy
Your provider must secure your data and that of your customers. Plivo, for instance, offers robust protections, including SOC 2 Type 2 and PCI DSS Level 1 certifications, with HIPAA compliance available for Enterprise users. Plivo is also GDPR compliant.
Experience the benefits of SMS gateways with Plivo
When selecting an SMS gateway for mass communication, it’s essential to choose a trusted cloud platform known for reliability, security, and ease of use. Here’s why Plivo is a top choice for businesses:
- Global connectivity: Plivo enables instant messaging to customers worldwide through a network of premium carriers.
- Advanced features: Manage sender IDs, support special characters for better readability, and access detailed analytics to optimize campaigns in real time.
- Seamless integration: Plivo’s SMS API integrates effortlessly with popular tools like Zapier, simplifying workflows.
- High reliability: Plivo is built on a strong, reliable infrastructure designed to handle anything you throw at it. With fault-tolerant systems and high availability, it guarantees 99.99% uptime for all its global carrier connections.
- Competitive pricing: Pay only for what you use with transparent and affordable rates. Plivo offers volume discounts for committed usage, enabling greater savings as your messaging requirements expand.
- 24/7 customer support: Plivo offers a range of support plans to meet any organization’s needs, from a free basic plan to a 24/7 premium support option. No matter your plan, you’ll have access to its team of experienced support engineers. Premium support plan users, however, get prioritized responses to their queries within a guaranteed timeframe, depending on the priority of the issue.
- Global compliance: Non-compliance with regional security protocols increases the risk of hefty fines and puts your reputation at risk. Plivo’s SMS gateway and API adhere to security best practices, including 2FA, to help protect your communications.
Ready to streamline your communication? Contact us today to learn how Plivo can help take your business messaging to the next level.

How Great Customer Service Builds Unbreakable Customer Loyalty
Learn how to earn customer loyalty with customer service. Understand why customer loyalty matters and how to build it with real-life examples of brands.
“Anybody can provide awesome customer service. You don’t have to be a rocket scientist to just be nice and be helpful.”
— Wade Foster, CEO & Co-founder, Zapier
In 1868, J.R. Watkins, a door-to-door salesman, changed the game for customer trust and satisfaction. He was the first to offer a full refund if the buyers weren’t satisfied with the product.
This wasn’t just about refunds but about meaningful customer service and showing customers they mattered. After all, 74% of consumers would rather be understood and valued than get discounts and loyalty perks.
This blog post will discuss how excellent customer service can build unbreakable loyalty and strengthen your brand’s foundation. We will also explore real-world examples of brands going the extra mile to satisfy their customers.
What is customer loyalty?
Customer loyalty is the trust and bond a customer has with a company built through a series of positive interactions over time. It is an ongoing positive relationship and a by-product of great customer service.
Loyal customers are more likely to :
- Make repeat purchases
- Interact more with the company through various channels
- Provide insightful feedback
- Recommend your brand to others
Why does customer loyalty matter?
Customer loyalty is the reason people choose you over your competitors. However, it doesn’t take much to change their mind. 59% of consumers in the U.S. will abandon your brand after several bad experiences, and 17%, with just one.
Building customer loyalty is a consistent effort that centers around offering quality products and services, transparency and proactive engagement. Once done right, it can lead to:
1. Increased retention
Loyal customers are 64% more likely to purchase from the same brand. In fact, 31% will pay more to stay with a brand. This can reduce customer churn and enhance customer lifetime value.
2. Higher revenue
Logically, increased intention will automatically lead to a higher revenue rate. Loyal customers are likely to spend more over time and purchase in large quantities. Research shows that returning customers spend 67% more than new customers, generating higher revenue.
3. Word-of-mouth marketing
47% of customers express loyalty by recommending the brand to friends and family. Loyal customers are the real brand promoters, as they can heavily influence others to purchase from your brand. This advocacy is highly effective as it can influence 54% of consumers to purchase.
4. Reduced acquisition costs
Acquiring new customers can be expensive. A brand loses an average of $29 for every new customer acquired. Loyal customers are a stable and predictable source of income, reducing the need to constantly acquire new customers, resulting in reduced costs.
5. Enhanced brand reputation
Customers who are impressed with your products and services are more likely to leave positive reviews and promote the brand to their network. This can boost your brand reputation while fostering trust and credibility among potential buyers.
Ways to build customer loyalty with exceptional customer service
Losing more than half of your customers—52%, to be exact—because of poor service isn’t just a statistic; it’s a warning. Modern customer service is not just about exchanging polite interactions; it’s about understanding their needs and catering to them in a way your competitors can’t.
Building customer loyalty requires exceptional service, whether sending a warm birthday message or offering a discount coupon.
Here’s how you can make it happen:
1. Be there when they need you
Say your customer is trying to troubleshoot their newly bought Wi-Fi router late at night and cannot get it working. It’s urgent; they are on an indoor movie date. But your business hours don't open until 10 a.m the next day. Imagine the frustration.
You can turn this moment of frustration into an opportunity by offering them immediate access to support when they need it. No, you don’t have to make agents work 24/7, but deploy self service options like AI-powered chatbots and knowledge bases to support users who have questions regarding products outside of business hours.
It’s also a great option for customers who are introverts or who do not wish to contact your company directly for simple issues. This extra assistance is what customers need to feel secure and loyal.
2. Personalize every touch
“Hi, how can I help you today?”
vs.
“Hi Emma, how can I help you today?”
Just addressing your customers by their names can make their day brighter. Now imagine how they would feel if you sent birthday wishes yearly or provided discount coupons for delayed shipments.
Businesses can leverage customer data and AI-powered tools to deliver personalized responses that precisely foresee and address individual needs. This not only streamlines experiences but also minimizes the time and effort customers spend seeking assistance.
For example, tools such as predictive analytics can analyze user behavior, such as history and past interactions, to understand customer needs and then create tailored recommendations to make them feel special.
3. Reach them in their comfort zone
Who would want to wait in endless loops of hold music? Customers sure don’t. Thankfully, there are more ways a customer can connect with a brand. But connecting isn’t enough; customers want a seamless and consistent experience across channels.
This is where omnichannel support comes in. It allows customers to connect on their preferred communication channel and even switch channels without ever having to repeat things. Omnichannel solutions can help you offer premium support by:
- Helping you understand the customer journey
- Identifying the frequently used channels and type of interactions customers prefer
- Creating smooth transitions between these touchpoints
4. Understand their satisfaction level
Asking for feedback is a way of showing customers they matter and you are working hard on making things better. Also, to drive customer loyalty, you have to measure key customer satisfaction metrics and understand what people love and hate about your service. This will help you create targeted strategies to resolve issues better.
Some of the top metrics to track include:
- Customer satisfaction score (CSAT): The level of satisfaction a customer has after an interaction
- Net promoter score (NPS): How likely customers are to recommend the service or company
- Customer effort score (CES): How easy or difficult it was for the customer to resolve the issue
The best way to collect feedback is by using automation tools. AI chatbots are great for asking customers to rate their experience after the resolution of a query. Sending automated feedback emails after an interaction is also a convenient way to collect responses.
5. Start a loyalty program
79% of consumers participate in at least one retail membership, loyalty program, or subscription. Creating a loyalty program is an excellent way to reward repeat customers with suitable offers, discounts, and freebies. It is a way of motivating customers to continue buying from you instead of your competitors.
For example, Starbucks’ loyalty program rewards customers with stars for each purchase. They can redeem these points to unlock perks like free drinks or personalized offers.
Real-world examples of brands excelling in customer service
Companies that go above and beyond to meet customer needs stand out and set industry benchmarks. Their ability to anticipate customer expectations, respond swiftly, and provide personalized solutions is the reason why we are discussing them today.
These brands prove exceptional customer service isn’t about one-off gestures but consistently delivering value at every touch point.
Here are some real-world examples of businesses excelling in customer service and creating memorable experiences:
1. Grammarly
Grammarly keeps its audience active and encouraged by sending customized email alerts. The weekly email updates provide insights into the user’s writing habits, productivity and language expertise, such as:
- Number of words written, writing mistakes and unique vocabulary used
- Common tones detected in your style of writing
- The total number of words Grammarly has analyzed since the beginning
- Advanced suggestions you could get with Grammarly Pro


This personalized approach not only helps users review their writing skills but also keeps Grammarly top-of-mind. As a result, users feel like they are on a journey of self-improvement rather than being targeted by sales tactics.
2. Zappos
Missing out on Zappos while talking about great customer service would be a crime. In fact, at this point, they could be used synonymously. On June 11, 2016, a Zappos employee had the longest customer service call in history at 10 hours and 43 minutes.
At Zappos there is only one ultimate principle— to make the customer happy, no matter what.The agents never use scripts, and they are told not to upsell.
Among hundreds of other things, they are also known for delivering flowers to customers experiencing difficulties, offering free upgrades, and buying an out-of-stock item from a competitor to provide customers with unparalleled service.
3. Amazon
Amazon is known for its ability to predict and resolve delivery-related concerns before they arise. The company utilizes predictive analytics to inform customers about their delivery status, including potential delays. Customers receive timely updates via email or app notifications, so they never wonder where their package is.
When delays do occur, Amazon often goes a step further by offering compensatory benefits, such as a full refund. This proactive communication not only smooths out the customer experience but also reduces the number of queries related to order statuses.

4. Southwest Airlines
Southwest Airlines reaches out to its customers even before they have a chance to complain. Once, a customer tweeted how they had a terrible Wi-Fi experience on a flight even though it was paid. Once they got home, a refund of the $8 internet purchase awaited them in their inbox. Super proactive, isn’t it?
Contacting your customers before they raise concerns shows you’re taking the initiative to support them. It’s an effective way to turn a problematic situation into a memorable and positive experience.

Build meaningful bonds with Plivo CX
Just like Rome, customer loyalty isn’t built in a day. It takes a long, dedicated series of thoughtful interactions, empathetic approaches and, above all, care—genuine care that customers can feel.
Achieving this level of connection isn’t possible without a tool. With Plivo CX, an all-in-one AI-powered platform designed to streamline communication, you can boost engagement and drive customer satisfaction.
The platform offers advanced analytics to help you understand customer needs and satisfaction levels, enabling proactive and personalized interactions. With intelligent call routing, real-time monitoring, and automated workflows, Plivo CX ensures every touchpoint is seamless and efficient.
The key features include:
- OpenAI-powered chatbot: Assist customers round the clock with personalized support
- Unified agent desktop: Manage all customer conversations across channels like voice, email, and sms from a single platform
- Real-time analytics: Gain immediate insights into customer interactions and agent performance
- Omnichannel routing: Seamlessly direct customer inquiries to the most appropriate agent across channels
- Seamless integrations: Connect with your existing tools, including CRM, ERP, helpdesk, home-grown systems, and more
Book a demo now to experience how Plivo CX can transform your operations.

How to Create Effective SMS Drip Campaigns (With Examples)
Get a detailed step-by-step guide to creating SMS drip campaigns with practical tips. Also, learn top use cases for SMS drip campaigns (with detailed examples).
There are 14 million eCommerce stores in the US alone fighting for consumer attention. Amidst this competition, according to a recent survey conducted by Bynder, the average marketing strategy requires approximately six touchpoints with consumers to make a sale—social media, online advertising, websites, newsletters, email marketing, and product catalogs.
But how do you ensure consistent, impactful engagement without overwhelming your audience?
The answer lies in SMS drip campaigns. These strategically-timed text messages help you guide consumers through their journey, from discovery to decision-making, while building lasting relationships.
In this article, we explore the key components of SMS drip campaigns, share real-world examples, and provide actionable steps to create campaigns that maximize your ROI and revenue.
What is an SMS drip campaign?
SMS drip campaigns are a series of pre-automated messages that are sent to your subscribers either at different intervals or in response to their actions. It is a popular marketing strategy to keep consumers engaged and boost sales.
Here’s the revised section with benefits highlighted, examples included, and statistics with sources:
Key benefits of SMS drip campaigns
SMS drip campaigns offer several significant benefits that make them an essential part of modern marketing strategies:
- High engagement rates: SMS messages boast an open rate of approximately 98%, with 95% of texts read and responded to within three minutes of delivery.
- Improved conversion rates: The immediacy and high engagement of SMS contribute to higher conversion rates. For instance, e-commerce businesses such as REDCON1 have achieved a high ROAS through SMS marketing, with conversion rates ranging from 8% to 26% and low unsubscribe rates.
- Cost-effectiveness: Automated SMS campaigns require 60% less human intervention compared to traditional marketing strategies, making them a cost-effective solution.
- Enhanced customer experience: By delivering timely and relevant messages, SMS drip campaigns enhance customer satisfaction and loyalty. Studies show that 75% of customers appreciate receiving special offers via text messages.
6 SMS drip campaign examples
Now, let’s focus on the most common use cases where you can plan an automated SMS drip campaign:
1. Welcome series
A welcome series SMS drip campaign is a series of automated messages planned for either a new customer or a potential customer who just subscribed to your SMS list. This series aims to make them more familiar with your brand, bestseller products, and potential offers and convince them to make a purchase.
With a well-crafted welcome series, you can make a positive first impression on your subscribers and set a base for how well they will engage with all future SMS campaigns.

2. Abandoned cart
Another use case where an automated SMS campaign makes sense is cart abandonment. Abandoned cart SMS drip campaigns are automated text messages sent to customers who added items to their shopping cart but did not complete the purchase.
This campaign is critical because persuading an existing subscriber (who has expressed interest in your product) to make a purchase is easier than marketing to new consumers.
A common cart abandonment series can include any offer, low inventory alert, or a simple reminder.

3. Customer feedback
User-generated content is increasingly recognized as a pillar of modern marketing. It builds social proof and helps you build trust to generate more sales in the future.
One of the simplest ways to collect user-generated content is by running automated feedback campaigns.
Customer feedback SMS drip campaigns are automated text messages sent to users to provide feedback post-purchase. You can also offer any incentive to customers to give feedback.

4 Cross-sell and Upsell
Cross-selling and upselling are powerful strategies to increase customer lifetime value. The goal is to recommend related or higher-value products that complement their last purchase.
You can define product bundles of SKUs that complement each other or identify bestsellers in a category. Whenever a user makes a purchase, they get these automated suggestions.
The intent should be to make a relevant recommendation rather than being spammy.

5. Winback
Winback campaigns, also known as re-engagement or reactivation campaigns, are essential for long-term brand success.
As part of winback SMS drip campaigns, you can send messages to customers who haven't purchased in a while. The message could be a coupon, an announcement about the latest collection, or more. The idea is to regain their interest and give them enough incentive to make a purchase.

6. Loyalty program
Loyalty programs are excellent for building long-term customer relationships. SMS is an excellent medium for running loyalty programs.
As part of the loyalty SMS drip campaigns, you can send messages about the rewards points, birthday rewards, milestones rewards, or any other benefits.

How to create an SMS drip campaign?
Follow these steps to create effective SMS drip campaigns:
1. Identify the type of campaign
To begin with, identify the type of campaigns you want to run. We have shared six types of most common SMS drip campaigns in this post for reference. Diversify your strategy to keep the subscribers engaged.
2. Choose the triggers
Once you have finalized the type of campaign, define the required triggers.
3. Choose an SMS marketing platform
The next step is to choose an SMS marketing platform that will enable you to run these campaigns.
Key features to look for in an SMS marketing platform are:
- Registering users sign up through forms
- Segmenting users based on demographics and website activity
- Providing workflows to automate SMS drip campaigns
- Giving automated reports on campaigns
- Providing excellent customer support for implementation
4. Create campaign messages
Once you have the base setup in place, it's time to create campaign messages. You can take advantage of built-in templates in SMS marketing platforms to get a good base to start with.
Top SMS marketing platforms also offer AI-based copywriters that quickly create campaign messages based on some inputs (type of campaign, target audience, intent, etc.) Therefore, choosing an SMS platform with AI features also helps create fast campaigns.
5. Set up the workflow
With clarity of triggers and messages, the only task left to get started is setting up the workflow. Set up triggers and respective messages in your SMS marketing automation platform.
6. Measure and optimize
Lastly, don't forget to track important KPIs of campaigns such as open rate, click rate, converted rate, and revenue. This information will help you identify what's working and what's not for running more effective SMS drip campaigns.
Run impressive SMS drip campaigns with Plivo CX
Plivo CX is an omnichannel customer engagement platform that serves as an excellent driver for your SMS drip campaigns. It offers a no-code journey feature. Users can simply drag and drop and set up SMS journeys without any coding.

Apart from the convenient journey creation, Plivo CX also supports:
✅Getting customers to opt-in
✅Segmenting subscribers for better targeting
✅Creating personalized content for campaigns with in-built templates and AI copywriter
✅Scheduling campaigns with AI assistance
✅Launching campaigns with ease
✅Building reports of campaigns
You get an end-to-end solution that also complies with all industry and government regulations.
Further, we do not rely on external carriers; instead, we use our internal premium carrier network. This enables you to send messages to over 220 countries/territories with higher deliverability for as little as $0.0065.
This means you can slash your SMS marketing cost by up to 70%!
Want to create SMS drip campaigns without any hassle?
Schedule a demo today to explore the powerful features of Plivo CX.

Use Cases of AI Virtual Assistants in Ecommerce
Integrating AI into your ecommerce operations boosts efficiency, enhances personalization, and increases customer satisfaction. Here’s how
If you are running an ecommerce store, the stakes are sky-high. With so many options available, your customers expect nothing but the best from you. So, you must deliver a customized experience to retain and engage them.
However, challenges like inefficient inventory management, poor personalization, and slow customer service expose many ecommerce businesses to lost sales and decreased customer satisfaction. Traditional solutions often lack the speed and accuracy needed in today's fast-paced digital marketplace.
Integrating AI virtual assistants can effectively address these issues. They leverage several latest technologies, including natural language processing, machine learning, and predictive analytics. Therefore, they can analyze customer data from multiple touchpoints, offer personalized product recommendations, and even manage inventory.
Also, by integrating AI virtual assistants, businesses can enhance customer experiences, streamline operations, and potentially boost revenue by 10-12% or more.

In this article, we’ll explore eight major AI use cases in ecommerce and how you can implement them to uplift the bottom-line ROI.
AI use cases in ecommerce
Forward-thinking brands are actively preparing for AI integration—38% are investing in AI technology, 30% are partnering with providers, and 29% are training staff on AI capabilities. Also, the latest data suggests that 63% of brands acknowledge AI’s influence in their content marketing, SEO strategies, and website functionalities.
Let’s look at some major use cases where AI is being extensively used in ecommerce:
1.Hyper personalized product recommendations
How does it feel to open YouTube and immediately see shorts that appeal to your interests? Instant curiosity and satisfaction. That’s exactly what platforms like Netflix and Amazon use to drive engagement.
Netflix adopts an AI-powered recommendation engine to filter around 3000 video titles on its platforms and arrange them into over a thousand clusters based on a user’s preference, past watch history, and online behavior. This helps the platform show only movies that matter to its viewers—an approach vital to helping Netflix generate over $1 billion in revenue.
Amazon uses a similar approach to recommend products to customers. If products A and B are often purchased together, Amazon’s intelligent recommendation engine employs item-based filtering to upsell product B to a buyer who has recently purchased product A and vice versa.
Moreover, AI-based recommendations enhance personalization, and as we already suggested, 91% of consumers will likely shop from brands offering sleek, personalized customer experiences.
To meet this expectation, integrate an AI-powered recommendation engine into your online store and use it to personalize product recommendations using item and customer data.
2.Chatbots for customer service
A Forbes Advisor study found that 61% of consumers are willing to pay a 5% premium for exceptional customer service. However, relying solely on your team to deliver excellent service can be inefficient and strain your resources.
Also, there’s much room for human errors, delayed support, and inappropriate support, which can put off your customers. Besides, the 2024 HubSpot report notes that 90% want you to respond to their queries as early as 10 minutes—a fit nearly impossible without AI.
Using AI-powered chatbots to handle most routine requests frees up your support team and helps them focus on core customer queries. These bots act as virtual assistants capable of interacting in a human-like manner with customers, providing valuable recommendations and resources, scheduling callbacks, and escalating issues to appropriate agents—all significantly faster than human representatives.
As an omnichannel customer service platform with several AI-powered features, Plivo CX offers an OpenAI-powered self-service chatbot. It is capable of continuous learning in order to provide accurate responses to queries and take the pressure off your team. You can also train it according to your company’s custom dataset and guidelines to guard against misinformation or inconsistent messaging.

3.Dynamic pricing tools
Your pricing strategy is as important as the product itself. If you overprice, customers will switch to competitors, and if you underprice, your ROI will drop. Additionally, static pricing often fails to respond to market demand, competition, and customer behavior, limiting revenue opportunities.
AI solves this problem through dynamic pricing, which automates real-time product pricing based on current market factors, demand, supply, consumer data, stock availability, production costs, and profit margin.

AI-driven dynamic pricing tools also help you monitor your competitors’ cost labels. Let’s say one of your competitors is offering a discount for a product you also sell.
AI can immediately detect this discount and competitively modify your price to retain customers. This responsive pricing strategy, driven by AI and real-time data, balances profitability and customer satisfaction.
Uber employs this strategy to modify ride prices during changes in demand, time, and weather variability.
To do the same, train your AI tool to recognize specific triggers, such as market demand, for the adjustments. While adjusting prices, you should be mindful of your bottom line. It’s always better to avoid sacrificing profitability for lower prices.
4.Customer segmentation tools
According to Campaign Monitor, segmented campaigns result in a whopping 760% revenue increase.
While you can manually segment your customer base if it is just a few hundred, it’s a different ballgame for ecommerce businesses with thousands of buyers or a bulky audience. The process is often error-prone, time-consuming, and demands hefty human resources.
In this case, you can use AI-powered segmentation tools to do the heavy lifting. These tools can handle more data, analyze them in minutes, and section them into categories based on demographics, purchasing behavior, location, interests, or other relevant criteria.
Moreover, they can eliminate preconceived biases, such as the idea that pink dresses are for young females and blue dresses for older ladies.
This integration, in turn, enables you to deliver hyper-personalized shopping experiences, from tailored emails and consumer-centric product recommendations to dynamic pricing and targeted promotions, ultimately enhancing customer satisfaction and boosting conversions.
5.Fake review detection
Online reviews add credibility to ecommerce businesses and help convince shoppers in their final purchase stages. At least 93% of shoppers read online reviews before making a purchase, and over 31% say they will spend more with brands that have positive reviews.
Yes, bad reviews can damage your reputation, and not everyone cares enough to check if they’re fake or real.
To tackle this, AI algorithms analyze the troves of reviews on your ecommerce site based on intent, patterns, customer data, writing format, and real-time data to label fraud-like feedback.
Google applied the same approach to remove 170 million fake reviews in 2023.

6.Fraud detection and prevention
Sopho’s The State of Ransomware in Retail 2024 report shows that 69% of retail businesses were hit by ransomware in 2023. These attacks, from the usual ransom-style to card skimming and disruption of critical operations during cyber sales, continue to pose financial risks to ecommerce businesses.
However, AI can help identify such threats ahead of time by accurately analyzing network traffic for unusual patterns, tracing vulnerabilities, and spotting malicious activities in real time. This is useful for predicting potential threats, isolating affected systems, and automating responses.
AI-powered detection tools analyze transaction patterns to detect high-value purchases or repeated failed login attempts and flag suspicious behavior. For instance, if a customer’s spending suddenly spikes 10x compared to months of steady purchases. This could indicate an account breach and require immediate intervention.
A perfect case study is Mastercard, which has been able to reduce false positives in detecting payment fraud by about 200% and identify merchants affected faster by 300%.
The payment service uses AI to scan millions of transactions at once, detect possibly fraudulent processes, halt any transfer in or out, and alert concerned banks.
These smart programs can also assign risk scores to actions based on data like IP addresses, geolocation, payment methods, and customer behavior.
For instance, if the system detects someone is reusing promo codes and discounts through dynamic proxies, a high-risk score is assigned, and the account is blocked.
7.Voice search optimization
In 2024, over 56% of smartphone and 28% of laptop users leverage voice search to find information and brands. Studies also expect the number of voice search users in the US to reach 157 million by 2026, highlighting its growing consumer adoption.

With more people resorting to voice search over text search, AI can help streamline your customer experience by allowing them to place orders with voice commands, check inventory, or search for a product without moving a finger.
8.Visual search
Let’s say you took a picture with your friend dressed in a strawberry-colored, striped dress sometime last year, and now you want to get the same style. But you can’t find the right word to describe and search for it despite knowing how the dress looks.
Visual search comes to the rescue here—simply upload the image.
Amazon introduced StyleSnap, an AI-powered visual search feature that lets users shop with the product images they have. This is also similar to Pinterest’s Lens functionality, which utilizes image recognition and analyzes its billions of datasets to provide relevant pictures in return.
You can also implement the same approach to boost your customers' search experience by placing a camera feature near your text search icon. Achieving visual search is also possible through chatbots.
Implement AI in your ecommerce business with Plivo CX
As an AI-driven, cloud-based customer service platform that lets you connect with customers in their preferred channels, Plivo CX comes with an OpenAI-powered chatbot.
Our AI bot is trained to make smart decisions that align perfectly with your ecommerce policies. It can quickly and accurately resolve customer complaints and even escalate complex issues to human agents with detailed notes and data when needed.
This means faster resolutions, happier customers, and a more efficient team.
But that's not all! Our AI bot can also handle everyday tasks like processing refunds, tracking orders, modifying delivery addresses, and managing exchanges.
Here are some other powerful features Plivo CX offers:
- Unified communication: Manage all customer conversations across channels like email, voice, SMS, WhatsApp, and live chat from a single, intuitive dashboard.
- Effortless workflow design: Visually build custom workflows and automation with a drag-and-drop interface, no coding required.
- Seamless integrations: Connect Plivo CX with your existing tools, including CRM, ERP, helpdesk, and homegrown systems.
- Data-driven optimization: Track real-time analytics and generate custom reports to gain insights into customer interactions and agent performance.
- AI-enhanced efficiency: Prioritize urgent tickets, ensure brand consistency, and adapt quickly to changes with AI-powered support.
- Rich communication: Enhance interactions with multimedia support, including images, videos, and documents.
- Increased productivity: Streamline workflows with message templates, internal notes, and skills-based routing.
- Comprehensive features: Leverage call recording and barge-in for agent coaching, customizable IVR, multi-language support, and robust security features.
To learn more, book a demo now!

How eCommerce Businesses Can Run Effective Text Blast Campaigns
Discover how to use the power of SMS blasts marketing to boost your eCommerce sales. Learn strategies to craft compelling and effective text blast campaigns
SMS blasts are an effective way to engage regularly with customers and drive sales. While sending personalized campaigns is crucial, text blasts give you a quicker way to send mass updates to customers or run any promotions.
SMS blasts are best for:
- Sales, promotions, and coupon distribution
- Launches and announcements
- Event notifications
- Polls and surveys
- Alerts and notifications.
In this post, we will see how you can run an effective SMS blast campaign for your eCommerce business.
1. Create a qualified SMS subscriber list
The first step to planning any SMS campaign is getting users signed up to your SMS list.
The top strategies to get users to opt-in for SMS marketing are:
1.Sign-up form: Create a website pop-up form for subscriptions.

2.Order page: Encourage customers to opt in while placing an order.

3.Social media: Promote the exclusive perks of your SMS list on social media.

4.Discounts and coupons: Offer exclusive discounts or coupons to incentivize sign-ups.

5.Early bird access: Offer early access to new products or sales to SMS subscribers.

6.Contests and giveaways: Run exclusive contests for SMS subscribers.

7.Email Footers: Add a sign-up link to your email footers. It could be your regular newsletters or order delivery emails.

2. Segment audience
While SMS blasts are, particularly mass marketing, you can still make them a bit more personalized by segmenting your subscribers.
Segment your SMS list based on the following factors:
- Age
- Gender
- Location
- User activity
- Purchase history
- User lifecycle, such as new users or repeat users.
This segmentation will help you send more relevant and targeted messages to subscribers.
Tip: Use an SMS marketing automation platform like Plivo CX for a simplified segmentation process. It imports subscriber data from the Shopify store and opt-in forms on your website (coming soon).
Further, it automatically divides subscribers into segments based on key attributes, such as demographics, browsing activity, online behavior, etc.
3. Craft campaigns
The next step is to create the campaign content. Some tips for writing effective campaign messages are:
1. Keep it short: The ideal length for an SMS message is 160 characters. Target this length so the message can be delivered in a single SMS.
2. Follow trends: Take advantage of holidays/festivals and use that as a theme for content.
3. Adopt user-generated content: Share any positive customer experiences to build trust.
4. Build a sense of urgency: Create a sense of urgency by adding countdown timers.
5. Add strong visuals: Add eye-catching images and videos that grab attention and explain your campaigns quickly.
6. Use action-provoking verbs: Use words that encourage action from subscribers, such as 'Shop,' 'Sign-up,' etc.
7. Add a clear call-to-action: Keep it clear on what action you are expecting from the subscribers.
8. Add shortened URLs: Add shortened URLs to stay within the character limit.
9. Test and optimize: Test different messages to find what works best for your brand.
Tip: Use a marketing automation platform with built-in templates for different campaigns to get a starting point for various campaigns. Also, look for an in-built AI copywriting engine to generate fast, highly-tailored copy for your campaigns.
4. Optimize time and frequency
The next most important step for an effective SMS blast strategy is to find the appropriate timing. Firstly, as per the Telephone Consumer Protection Act, you are not supposed to send SMS before 8 AM or after 9 PM. But beyond this, you still have to find out when your subscribers are most active. You can do this by analyzing past campaigns to find optimal timing.
Tip: Instead of analyzing data manually, use a marketing automation platform with AI capabilities. AI can make this process easier by analyzing historical data, spotting trends, and suggesting optimal message timing for your campaigns.
5. Diversify text blasting strategy
Another important best practice for a successful text blasting strategy is to diversify your campaigns to keep the subscribers hooked. Surprise them with different types of campaigns, such as:
- Flash sales
- Limited-time offers
- Holiday promotions
- Early product launches
- Loyalty programs.
6. Measure results
Keep analyzing campaigns to find what's working and double down on it. Testing different variations of campaigns on a smaller budget also helps. Pull reports to identify what is giving good results and optimize your SMS marketing budget.
Tip: Simplify your reporting process by using a marketing automation platform that automatically tracks important metrics such as open rate, click rate, converted rate, and revenue.
7. Comply with legal regulations
Lastly, always comply with government regulations, such as TCPA and GDPR, to avoid legal penalties. Some best practices to stay compliant are:
1. Get a customer opt-in: Get explicit opt-in from customers before then sending them messages and getting flagged as spam.
2. Add option to opt-out: Add an opt-out option at the end of every message to make it easy to unsubscribe.
3. Send a message at appropriate timing: Stick to the timing suggested by TCPA and send messages only between 8 AM and 9 PM.
4. Save subscriber data diligently: Follow the local data protection standards and save data compliantly.
Tip: Choose a reputable SMS provider that complies with all the relevant regulations.
Run effective campaigns with Plivo CX
Plivo CX is a robust SMS marketing platform that can triple your revenue. You get all the key features required to run effective SMS blast campaigns:
✅Getting customers to opt in
✅Crafting campaigns with in-built templates and AI copywriter
✅Scheduling campaigns with AI assistance
✅Launching campaigns with ease
✅Building reports of campaigns
Apart from all these features, Plivo CX also complies with all industry and government regulations. Plus, Plivo’s premium carrier network enables you to send messages to over 220 countries/territories with higher deliverability and for as little as $0.0065.
Ready to boost revenue with SMS blasts? Schedule a demo today to explore the powerful features and capabilities of Plivo CX.
Frequently Asked Questions (FAQs)
1. What is an SMS blast?
An SMS blast, or text blast, is a mass text message sent to a large group of consumers. It's a quick and efficient way to reach a wide audience with a specific message. Common SMS blasts are flash sales, announcements, surveys, etc.
2. Is SMS text blasting legal?
Yes, SMS blasting is legal, but you must stay compliant with government regulations. TCPA is a regulation in the US for SMS marketing that suggests getting explicit opt-in from subscribers before sending messages and not messaging before 8 AM and after 9 PM. Apart from TCPA, different countries also have their data protection regulations.
3. How much does text blasting cost?
The cost of text blasting depends on your provider. By using a premium provider like Plivo CX, you can send text message blasts for as little as $0.0065 per SMS.
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How to Make A WhatsApp Bot in Just 5 Minutes
Learn how to make a WhatsApp bot with the benefits of automating customer support, boosting engagement, and streamlining interactions using Plivo.
With almost 3 billion users worldwide, WhatsApp has established itself as a dependable platform for businesses to connect with their customers. Its ease of use, widespread accessibility, and real-time messaging capabilities make it a go-to choice for handling customer queries, providing updates, and resolving issues quickly.
Pairing this functionality with automation takes things even further.
A chatbot transforms WhatsApp into a customer service super-tool. These bots provide personalized, real-time assistance, tackling everything from FAQs to appointment bookings.
Want to take your customer support to the next level in record time? Stick around—we’ll show you how to make a WhatsApp bot in just five minutes.
Prerequisites for creating a WhatsApp chatbot
You must have the two essential prerequisites below to get started with a WhatsApp chatbot.
1. WhatsApp Business account
When integrated with a business account, the WhatsApp chatbot gets all the essential features to manage customer interactions, enhancing overall credibility. All you have to do is:
- Download the WhatsApp Business app
- Complete the setup by verifying your phone number
- Provide accurate business details
Also Read: How to Create a WhatsApp Business Account in 5 Minutes
2. WhatsApp Business API
WhatsApp AI chatbots operate via the WhatsApp Business API to effectively connect and communicate with your customers.
So, once you have a WhatsApp Business account, you need to set up the WhatsApp Business API. The API ensures that your WhatsApp chatbot can respond to common queries and deliver quick and effective customer interactions.
The API supports customer relationship management (CRM) integrations and allows the bot to access customer data (on approval) for personalized communication. You can use the API to incorporate advanced features like timely notifications, promotional messaging, and seamless 24/7 availability for global customer engagement.
One of the standout features of the WhatsApp Business API is its ability to keep your chatbot active on WhatsApp around the clock, supporting your customers' different time zones.
WhatsApp chatbots' use cases extend beyond customer service. It can be leveraged for lead generation, appointment scheduling, and more.
Plivo simplifies the process of how to create and optimize your WhatsApp chatbot by offering:
- Easy WhatsApp Business Accounts (WABA) onboarding
- Support for WhatsApp green tick verification applications
- Tools to create WhatsApp message templates
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Step-by-step guide: How to make a WhatsApp bot
Now that you’ve checked off the prerequisites, let’s dive into the process with four easy steps.
Step #1: Sign up for a chatbot builder
Selecting the right chatbot builder is essential to build a WhatsApp bot efficiently.
Platforms like Wotnot, Landbot.io, and Flow XO offer tools tailored to various business needs to help you design WhatsApp chatbots. Here’s a list of recommended chatbot platforms to consider.
To simplify the process, opt for a no-code chatbot builder. This allows you to design a bot without technical expertise or programming skills, making it accessible to anyone.
Plivo provides a no-code WhatsApp AI chatbot that uses ChatGPT to handle customer service automation. This solution helps businesses deliver instant, AI-driven responses to customer inquiries while eliminating the need for technical expertise.
You can use Plivo’s AI-Powered Chatbot for WhatsApp to set up a chatbot that aligns with your business and improves customer engagement.
Now, let’s explore how to create a WhatsApp bot using Plivo. Make sure to sign up first.
Step #2: Design the flow for your WhatsApp bot
With Plivo’s Customer Service Suite (CX), configuring the flow of the WhatsApp chatbot is simple and sleek. This step helps you customize the bot’s functions to meet specific business requirements.
Design a well-structured flow to create a WhatsApp bot that handles inquiries, schedules appointments, or generates leads. All you have to do is:
- Start by adding a main menu to offer clear navigation options.
- Add reply buttons and button lists for simplified customer responses.
- Use Plivo’s advanced auto-reply feature for a personalized experience tailored to the user's needs.
Plivo CX’s no-code tool makes it easy to design your chatbot with just a drag-and-drop component.
For example, Plivo’s Send WhatsApp and Await Reply components enable you to create branching flows that define each step of the WhatsApp conversation.

Step #3: Connect your WhatsApp Business API
As you’ve read, WhatsApp chatbots are powerful tools for scaling communication. However, to enable its full potential, you need to connect it with the WhatsApp Business API.
Unlike the standard WhatsApp Business app, the API can handle high messaging volumes; companies can build their WhatsApp chatbots to align with business needs.
With Plivo, getting access to the API is simple. Use the integrated signup system to verify your numbers quickly and start sending messages without delay. When paired with the WhatsApp Business API, your chatbot becomes scalable, responsive, and effortless to manage and meet the growing demands of customer engagement.

Learn more about getting started with WhatsApp API.
Step #4: Go live with your WhatsApp chatbot
After creating a WhatsApp bot flow and gaining access to the WhatsApp Business API, it’s time to let your WhatsApp bot go live.
In this final step, you’ll connect the WhatsApp Business API (Step #3) with the chatbot you built in the second step. The WhatsApp chatbot is now ready to be configured and tested. Once everything is set up, simply hit ‘Deploy’. The bot will go live, engaging with your customers directly in the app and providing seamless customer support.

Why use a Whatsapp chatbot for your business?
With a WhatsApp bot, you can resolve up to 90% of customer queries using AI, offering fast, scalable, and cost-efficient solutions for your business. Consider the following three scenarios that illustrate its use cases:
Scenario 1: Fast-growing businesses
What happens when your business grows faster than your support team can manage? Your customer inquiries pile up, and you need a solution that scales along effortlessly. Without it, you risk:
- Long wait times for your customers.
- Overwhelmed support agents.
- Inconsistent service quality.
- High costs of hiring and training.
- Low customer satisfaction scores (CSAT).
Here, a WhatsApp chatbot acts like an expert team member without the time or expense of training a team member. AI-powered WhatsApp chatbots handle 95% of routine support tickets, provide 24/7 customer support, and reduce operational costs.
Scenario 2: Small businesses with limited personnel
As a small business owner, you’re wearing many hats—customer support is one of them. The result? No dedicated support team, lost sales opportunities, inconsistent response times, and limited availability for customer needs.
A WhatsApp bot is like hiring a professional support team at a fraction of the cost.
With WhatsApp chatbots, you can focus on growing your business while offering excellent service through your chatbot. AI automation allows you to manage multiple channels, such as chat, email, and WhatsApp, without increasing headcount. Your AI chatbot works tirelessly, delivering efficient, professional support around the clock.
Scenario 3: Established businesses with seasonal peaks
For businesses that experience seasonal fluctuations, support challenges include:
- Understaffed teams during peak seasons.
- Overspending on staff during slow periods.
- Low support quality from temporary hires.
- High error rates, damaging company reputation.
AI-powered WhatsApp bots effortlessly handle spikes in demand without the need for seasonal hires. Deploying the WhatsApp chatbot ensures consistent support quality throughout the year, reduces costs associated with seasonal staffing, and delivers reliable service regardless of the season.
Plus, with automation, you can be assured that your customers receive timely, accurate responses without overburdening your team.
Use Plivo’s ChatGPT-powered no-code WhatsApp chatbot
Fortunately, with Plivo, you don’t need to build your chatbot from scratch.
Plivo CX comes with an AI-powered WhatsApp chatbot builder that allows you to automate tasks and facilitate customer interactions, improve lead engagement, and deliver personalized user experiences — all while stepping into modern sales processes.
This solution easily connects with your business tools, making WhatsApp bots a powerful addition to your sales toolkit. Here’s what it offers:
- Omnichannel support: Deliver seamless customer service across multiple channels from a single dashboard for easy management.
- Quick integrations: Connect Plivo CX with your existing tools to gain a unified view of the customer journey and comprehensive data insights.
- Automated workflows: Design personalized customer journeys on WhatsApp and other platforms with a visual workflow builder.
- Real-time analytics: Track and analyze customer interactions to improve the WhatsApp bot’s performance over time.
- Agent coaching tools: Enhance customer support with features like call recording, barge, and whisper, ensuring your bot provides the best experience.
Ready to set up your chatbot? Book a demo for Plivo CX today and see how the WhatsApp chatbot can fulfill your customer support needs.
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