
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.

How to Drive Immediate Sales with Flash SMS Promotions
Increase sales instantly with flash SMS promotions! Learn how to send high-impact, urgent flash messages that grab attention and drive conversions.
As the evening winds down, what's better than a game of your favorite sport? Maybe some badminton?
During your break while playing, you check your phone. A message instantly pops up—not stored in an inbox, not a push notification you can swipe away, but a flash SMS.
It’s a limited-time deal on the badminton shoes you’ve been eyeing, expiring in two hours. You tap the link and complete your purchase.
This is what flash SMS can do—capture attention, create urgency, and drive immediate action. Unlike regular SMS, it ensures that time-sensitive promotions don’t go unnoticed.
So, how do you send a flash SMS that delivers results?
In this article, we’ll cover the key steps to creating a high-converting campaign and best practices for crafting compelling messages.
How do flash SMS promotions work?
Flash SMS, or Class 0 SMS, is a unique text message that instantly pops up on the recipient’s screen without needing to be opened, ensuring immediate visibility.
Businesses use flash SMS promotions to send urgent, action-driven messages via an SMS platform, making it ideal for time-sensitive promotions. Unlike regular SMS, it bypasses the inbox, grabbing attention and prompting quick customer action.

Since the message stays on-screen until dismissed, customers are more likely to click, redeem offers, or complete purchases quickly.
Here’s how flash messages work:
- Instant visibility: The message pops up on-screen as soon as it’s received
- No inbox clutter: Flash SMS does not get stored unless the recipient actively chooses to save it
- High engagement: Since the message must be dismissed manually, it grabs higher engagement than standard SMS
Use cases for flash sms
Businesses across various industries use them to engage customers, increase sales, and send critical alerts. Below are some key use cases of flash SMS:
1. Flash sales and limited-time discounts
When running limited-time sales, every second counts. You can instantly inform customers about time-sensitive promotions, prompting quick actions.
Example: A fashion brand running a two-hour sale sends:
"🚀 50% OFF for 2 hours! Tap now before the deal ends → [link]"
2. Urgent alerts and real-time updates
Customers need instant updates for important service changes, like order confirmations, delivery delays, or security alerts. Organizations can use flash SMS to send critical information that requires immediate attention.
Example: A payment service provider sends:
"⚠️ Suspicious login detected on your account. Click here to verify or secure your account → [link]"
Since the message stays on-screen until dismissed, customers take action immediately.
For instance, T-Mobile tested sending emergency alerts via satellite to ensure users receive vital information even when off the grid.
3. Exclusive VIP offers for loyal customers
Brands can reward their most loyal customers with exclusive deals or early access to new products via flash SMS. By sending time-sensitive, personalized offers directly to their screens, businesses can build stronger relationships and increase customer retention.
Example: A cosmetics brand launching a new product line sends:
"💎 VIP early access! Get first dibs on our new collection before anyone else → [link]"
How to set up a high-converting flash SMS campaign
Flash SMS campaigns can deliver higher conversions when executed strategically. Follow these key steps to maximize every message's impact and drive measurable results.
Step 1: Define your campaign goal
Before sending out any messages, clearly define the objective of your campaign. A well-defined goal ensures that your messaging is focused, relevant, and aligned with your business needs.
Are you aiming to:
- Increase sales through a flash sale or limited-time discount?
- Increase engagement with VIP offers or event reminders?
- Create urgency with time-sensitive updates or alerts?
Flash SMS works best when:
✅ You need immediate engagement (e.g., flash sales, limited-time discounts)
✅ Your brand wants to stand out in crowded inboxes and notifications
✅ Your audience responds well to urgent, short-form marketing
However, frequent overuse can lead to customer fatigue, so use flash SMS strategically.
Step 2: Build a targeted audience list
Not all customers respond the same way to promotions. To maximize conversions, segment your audience based on:
- Purchase history: Previous buyers, high-value customers, or first-time shoppers
- Engagement level: Subscribers who interact with past SMS campaigns
- Location & timing: Send messages at optimal hours based on customer time zones
By sending personalized, relevant messages, you increase the likelihood of engagement and action.
Step 3: Craft a clear & actionable message
Since flash SMS messages appear directly on the screen and are not stored, your message must be clear and action-driven.
- Keep it under 160 characters: No room for fluff!
- Use urgency-driven words: “Hurry!,” “Limited time,” “Only today”
- Include a strong CTA: “Shop now,” “Claim your deal,” or “Reserve your spot”
Example messages:
🚀 FLASH SALE! 40% OFF sitewide for 2 hours only! Shop now → [link]
⚡ EXCLUSIVE! VIP early access to our new collection. Tap to shop → [link]
Step 4: Optimize timing & frequency
Flash SMS works best when timing aligns with customer behavior and purchasing patterns. Sending messages too early or too late can reduce effectiveness, while poorly timed promotions may go unnoticed.
Consider:
- Peak activity hours: Send messages when customers are most likely to engage (e.g., lunch breaks, evenings)
- Urgency-based timing: Align messages with last-minute reminders for ongoing sales
- Avoiding spam: Sending too many messages can lead to opt-outs. Balance frequency for maximum impact
Step 5: Choose a reliable flash SMS platform
A successful flash SMS campaign requires a robust SMS marketing platform that can handle high-volume messaging with zero delays.
Prioritize an SMS provider that offers instant message delivery, automation features, and real-time analytics to optimize performance and engagement.
When evaluating a platform, look for:
- High delivery speed: Messages should appear on the recipient’s screen immediately to create urgency
- Advanced analytics: Real-time tracking of open rates, click-throughs, and conversions helps measure success
- Automation capabilities: Features like scheduling, segmentation, and personalized messaging improve efficiency
- Regulatory compliance: Ensure the platform adheres to SMS marketing laws and offers opt-in/opt-out functionalities
A well-equipped flash SMS platform can maximize the impact of your campaign by delivering messages at the right time to the right audience.
Step 6: Test & measure performance
You need to continuously optimize flash SMS campaigns for better results. Track key performance metrics like:
- Open rates: How many recipients saw the message immediately?
- Click-through rates: Did users take action on the link provided?
- Conversion rates: How many purchases or sign-ups resulted from the SMS?
A/B testing different messages, timing, and CTA variations can help refine your campaign for even better results.
Step 7: Ensure compliance
To maintain trust and legal compliance, follow SMS marketing regulations, such as:
- Obtain user consent before sending promotional messages.
- Provide an opt-out option (e.g., “Reply STOP to unsubscribe”).
- Avoid misleading content or overly aggressive messaging.
Best practices to maximize flash SMS conversion rates
A high-impact flash SMS campaign requires careful planning, targeted messaging, and real-time optimization. By following best practices, you build customer trust while ensuring long-term engagement:
Personalize messages for higher engagement
Flash SMS grabs attention instantly, but driving action requires relevance and urgency. Personalization in SMS is a proven strategy for higher engagement.
Customers are 90% more likely to complete a purchase after receiving a personalized SMS.
Why it works: Personalized SMS messages make recipients feel valued and increase their likelihood of acting on the offer.
Example: "Hey Alex! Your exclusive 20% off coupon expires in 2 hours. Don’t miss out! Shop now 👉 [link]"
How to do it:
- Use the recipient’s first name to create a sense of familiarity
- Reference previous purchases to suggest relevant offers
- Offer exclusive discounts to repeat customers
Keep the message urgent and actionable
A well-timed flash SMS pushes customers to act on the spot. The key is to create a sense of urgency that makes hesitation feel like a missed opportunity.
Why it works: When customers see an offer that won’t last or an exclusive deal with limited availability, they’re more likely to act fast.
Examples:
"Only 50 spots left! Claim your exclusive VIP deal now → [link]"
"Deal ends in 2 hours! Shop now before it’s gone → [link]"
How to do it:
- Use countdowns to emphasize urgency ("Only 10 t-shirts left!)
- Highlight limited stock to create scarcity ("Deal ends in 1 hour!")
- Add words like "Hurry," "Only," "Last chance," and "Expiring soon" to drive immediate action.
Ensure a good mobile experience
Flash SMS with a poorly optimized landing page can break the conversion flow. More than 58% of website traffic comes from mobile devices. If your landing page doesn’t load quickly or is difficult to navigate, they’re likely to abandon the purchase.
How to do it:
- Optimize landing pages for fast loading speeds (aim for under 3 seconds)
- Use a clear, single CTA button to drive instant action
- Ensure the checkout process is seamless on mobile devices
Monitor performance and optimize campaigns
Even the most well-crafted flash SMS campaigns need ongoing optimization to maintain high conversion rates.
Real-time tracking helps identify what’s working, whether it’s the messaging, timing, or audience segmentation—so businesses can fine-tune their approach.
Optimization strategy:
- Test different CTA formats (“Shop Now” vs. “Claim Your Deal”)
- Adjust send times (lunchtime vs. evening)
- Segment audiences based on engagement history
Key metrics to track:
- Open rates – How many recipients viewed the message?
- Click-Through Rates (CTR) – How many clicked the link?
- Conversion rates – How many completed a purchase?
Why businesses trust Plivo CX for high-impact flash SMS campaigns
Remember the badminton break scenario?
A flash SMS offer appeared instantly, grabbing attention and leading to an immediate purchase—no inbox clutter, no delays, just action. Now imagine that same impact at scale, reaching thousands of customers and ensuring every time-sensitive promotion is seen and acted on at the right moment.
That’s where Plivo CX comes in. Running a high-impact flash SMS campaign requires more than just sending messages—it demands precision, automation, and real-time tracking to drive results.
As a robust omnichannel SMS marketing platform, Plivo CX provides businesses with instant message delivery, real-time tracking, and advanced automation to drive immediate customer action. With data-driven insights, businesses can optimize their flash messaging for maximum engagement and conversions.
Here’s what Plivo CX can do to your SMS marketing campaign:
- E-commerce integrations: Connect with e-commerce platforms like Shopify, WooCommerce, BigCommerce, and Magento to personalize and send SMS directly from your e-commerce system.
- Send messages at the perfect moment: Automate and schedule messages at optimal timings across time zones to ensure your messages reach customers at the perfect moment for maximum impact.

- Leverage customer browsing behavior: Plivo CX uses session data to send personalized product recommendations and time-sensitive offers based on customer interests. This leads to higher engagement and conversions.
- Instant campaign alerts: Keep customers engaged with timely updates on product launches, flash sales, restocks, and new arrivals. Sending real-time alerts ensures they never miss out on exclusive, limited-time offers.

- Create high-impact SMS with AI: With our Copywriter AI feature, generate compelling SMS messages instantly using pre-built templates and smart suggestions. This improves SMS deliverability.

- Customer segmentation: With Plivo CX’s Audience feature, leverage purchase history, spending habits, and engagement data to segment customers and send targeted SMS.

With Plivo’s premium carrier network spanning 220+ countries, businesses can deliver SMS instantly and at scale, reducing costs by up to 70% while tripling ROI.
On average, Plivo CX users generate $71 for every $1 spent, making it a powerful customer engagement tool for high-impact, time-sensitive messaging.
Maximize the impact of your time-sensitive SMS campaigns with a platform built for speed, precision, and engagement. Schedule a free demo today!

How eCommerce Businesses Can Send SMS Order Updates | How to + Templates
Get a detailed step-by-step guide to creating SMS Order Updates with practical tips and templates.
Not knowing their order shipping status is quite frustrating for any online shopper, especially for time-sensitive orders. Order SMS updates are crucial to maintain trust and improve customer experience.
In fact, 83% of shoppers look for regular text updates about their order shipping status.
In this post, we will share a step-by-step guide covering the type of SMS order updates, how to set it up, and best practices for effective implementation.
Type of effective SMS order updates
Regular SMS alerts/reminders at different stages are crucial to keep customers engaged. Here are the main stages that you must cover:
1. Order confirmation
The first step is to send an order confirmation SMS as soon as the order is placed. This gives the customer reassurance that the order is confirmed.
This message typically contains the customer name, order number, and product name. You can also provide some basic details on shipping or estimated delivery time in this message.
Order confirmation SMS template
Hi [Customer Name], Your order #[Order Number] for [Product name] is confirmed. Your order will be shipped soon, and we'll send you a tracking link once it's on its way. If you have any questions, feel free to reach out. Thanks for shopping with us!
2. Shipping update
You can send a shipping update once the order is dispatched. This message usually contains the order number, product name, tracking link, and expected delivery date.
This proactive SMS ensures that customers are not left wondering where their order is.
Shipping update SMS template
Hi [Customer Name], Your order #[Order Number] for [Product name] is shipped and is expected to be delivered by [Expected delivery date]. Track it here [Tracking link].
3. Delivery update
A delivery update is sent once the product is out for delivery. This message helps consumers plan their availability to receive the product.
This typically contains the order number, product name, and estimated delivery time.
Delivery update SMS template
Hi [Customer Name], Your order #[Order Number] for [Product name] is out for delivery by [Time window]. If you have any questions or concerns, feel free to contact us at [Customer support number].
4. Delivery confirmation
A delivery confirmation SMS is sent after the order is delivered. It often includes a link with a feedback form or support number to contact in case of any issues.
Delivery confirmation SMS template
Your order #[Order Number] of [Product name] has been delivered successfully. We hope you enjoy your purchase! Please share your delivery experience [Delivery feedback]. If you have any questions or concerns, contact customer support at [Customer support number].
How to set up automated SMS order updates
Here is a step-by-step guide to creating a reliable automated SMS update system:
1. Choose an SMS marketing platform
The first step is to choose an SMS marketing platform to deliver the messages. Some key considerations to decide on an SMS marketing platform are:
- Can the platform be integrated with your eCommerce store?
- Is the pricing in your budget?
- Does the platform allow setting up automated SMS workflows?
- Is the SMS deliverability high and reliable?
2. Integrate with eCommerce platform
Once the SMS platform is finalized, you can integrate it with your eCommerce store. This integration will give the SMS platform access to the required data to send order updates.
3. Set up automated SMS messages
Post integration, you define automated workflows to send messages when a new order is placed or the status changes of any existing order. In these automated workflows, you can set up trigger events and respective messages for the trigger. These trigger events would be:
- Order placed
- Order shipped
- Order out for delivery
- Order delivered
The platform will automatically send messages whenever a trigger hits.
4. Test and refine messages
You can track the key metrics to optimize your SMS updates further. These metrics can mainly be open rate or click rate.
Best practices for implementing SMS order updates
Follow these best practices to design effective SMS order updates:
1. Cover all order stages
Provide clear and consistent communication throughout the entire order process, from order confirmation to shipping and delivery, so customers are always aware of their order's status.
2. Keep the message concise and relevant
Customers want a quick note, so keep the message crisp with necessary details (Order number, estimated delivery date, tracking link).
3. Personalize message
For a better experience, personalize the message with specific customer/order information.
For instance, don't just mention the order number in the message. Instead, add the product name so customers are aware of which order you're talking about in the message.
4. Use a reliable SMS provider
You cannot afford poor deliverability in order status SMS. Imagine sending an order confirmation promising a shipping link upon dispatch, only for that crucial shipping update to go undelivered.
That's not the type of experience customers expect, nor does any eCommerce platform want to deliver. This inconsistency frustrates customers and reflects poorly on your brand. To avoid such issues, you can choose an SMS provider with high deliverability.
5. Add branding to SMS
Add brand details to SMS so customers can immediately recognize the brand. Some branding elements can be:
- Register your business name as the sender ID rather than using a general long code number
- Create brand voice guidelines for consistent tone and style for messages
- Start or end messages with your brand name
Send SMS order updates on autopilot with Plivo CX
Plivo CX simplifies SMS marketing for eCommerce businesses. Our no-code journey builder allows you to automate order updates easily.
Seamlessly integrate Plivo CX with Shopify, and then you can create automated SMS order update workflows using a drag-and-drop interface – no coding required.

Apart from the effective journey creation, Plivo CX also supports:
✅Getting customers to opt-in
✅Creating campaigns with in-built templates and AI copywriter
✅Scheduling marketing campaigns with AI assistance
✅Launching ad-hoc 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 and use our internal premium carrier network. This capability enables you to send messages to over 220 countries/territories with higher deliverability for as little as $0.0065.
The best thing is, you can easily cut your SMS marketing costs by up to 70%.
Want to create SMS order updates campaigns quickly?
Schedule a demo today to explore the powerful features of Plivo CX.

Customer Service Burnout
Customer service burnout decreases team productivity, increases agent turnover, and can cause a dip in ROI. Here’s how to prevent it.
You might not realize it, but these subtle signs could mean you're experiencing burnout at work:
- 🤔 The “huh” exclamations when a new query ping comes in
- 😤 Getting easily irritated by almost anything
- ⚠️ Making routine mistakes that could normally have been avoided
- 📢 Raising your voice at customers
- 😐 Feeling unenthusiastic when handling customer queries
- 🏢📉 Reduced engagement levels, even while in the office
According to WHO, these signs of customer service burnout can also lead to chronic stress that spells doom for employee wellbeing. Picking these pointers up early can help minimize damage to your business and agents.
In this article, we’ll discuss the causes of customer service burnout, its impact on your business, and how to reduce or avoid it with AI.
Causes of customer service burnout
According to a 2022 McKinsey report, one in four employees experiences burnout. For customer support teams, this is usually a result of ticket overload, handling many of the same tasks every day, inadequate resources and support, and a toxic work environment.
High ticket loads due to rapid scaling
Scaling is essential for every business.
However, it becomes problematic when your team size and resources remain the same. Imagine managing over a thousand queries, up from a few dozen per day, with just five agents. That means each agent has to handle about 200 tickets every day, compared to the previous 20.
This increases the workload and pressure on your team, even if the salary is appropriate. Your agents exhaust themselves to meet a set target, which leads to burnout in the long run.

Handling repetitive tasks
Customer service may seem routine, but the daily tasks can quickly become overwhelming:
- Responding to routinely asked questions
- Processing refunds
- Escalating complaints to a higher level
- Manually updating customer details
- Retrieving customer data
- Managing order status inquiries
First, these repetitive tasks gulp 10% to 25% of your agent’s productive time. Moreover, constantly handling the same inquiries without variety or meaningful engagement makes the job feel monotonous and mentally exhausting.
Over time, this lack of stimulation can reduce motivation, increase stress levels, lead to burnout, and eventually impact the quality of customer interactions.
Inadequate technical support and training
Untrained or improperly trained agents struggle to handle customer queries effectively, leading to frustration, stress, and a feeling of being overwhelmed.
When agents feel overwhelmed, their performance suffers, creating a ripple effect: customers become frustrated due to poor service, and overall satisfaction declines.
Agents, already struggling to keep up, may face backlash from both frustrated customers and unsympathetic management. Over time, this cycle of stress, blame, and dissatisfaction erodes morale and also causes burnout.
At the same time, inadequate or outdated support tools and AI-powered technical solutions mean your agents have to execute most tasks manually. This results in human errors, repetitive tasks that become monotonous, and inefficiency in delivery.
Toxic work culture and environment
Work culture becomes toxic when unrealistic expectations, a lack of recognition and appreciation for milestones met, illegal demands for overtime, unhealthy cutthroat competition fostered by the company, and poor team communication lead to disputes.
These reasons also contribute to a toxic work environment and workplace tension, which inevitably causes burnout.
Impact of customer service burnout on organizations
According to Gallup's often-cited burnout report, 76% of employees experience burnout occasionally, and 63% are more likely to take sick leave because of this.

But burnout affects more than just your agents. It can also affect your company, often manifesting as decreased team productivity, increased staff turnover, customer dissatisfaction, and declining ROI.
Decreased productivity and morale
Burnout keeps your employees from their best, with many of them spending more time on a task than usual or getting stuck in a cycle of customers’ frustrated complaints.
This is even more prevalent in younger employees, according to meQ. Under-30 employees are 62% more likely to report stress-impaired productivity than older employees older than 60.
When a significant number of your first-line support staff members break down under stress, others who are not affected by burnout have to step in to handle deficits. They eventually become overwhelmed as well, and the cycle continues until the whole team’s productivity and work morale take a significant dip.
Increased staff turnover
Chronic stress results in increased sick leave and absenteeism from work. But it can trigger worse outcomes—staff turnover.
In a study conducted by UKG, one-third of affected GenZ employees may resign. Agents in the millennial age group are also likely to opt in for stability over continuous work strain on their mental health, and this often means quitting.
Increased staff turnover creates a void in your support team’s structure, leading to heavier workloads for the remaining agents and declining service quality. As experienced employees leave, valuable knowledge and expertise are lost, forcing your HR team to train new hires who may struggle to keep up constantly.
Customer dissatisfaction
A highly stressed customer service team and burnout support reps will provide subpar support. This can take the form of delayed response times, unsatisfactory resolutions, or aggressive communications between your service rep and a customer, resulting in poor service delivery and a bad customer experience.
65% of customers switch to another brand after a bad experience, so burnout ultimately increases your customer turnover rate.
Declining organizational ROI
High staff and customer turnover, recurring training and onboarding costs, and increased customer acquisition costs increase avoidable expenses. A recent Gallup analysis also shows that absenteeism can cost businesses $340 per employee per missed workday.
But besides the expenses, every customer lost as a result of agent burnout means lost revenue. Customers with bad experiences also write bad reviews that can damage your reputation and prevent other prospects from patronizing your business.
Avoiding this is crucial, given that four in ten consumers use online reviews as their main channel of finding a product or even buying.

Reducing burnout in customer support: 4 effective ways
Reducing burnout among your customer support team members can help boost staff retention, improve service delivery, and scale your ROI. Let’s talk about four ways to do that.
1. Recognize the warning signs and causes
Burnout often goes unnoticed at workplaces, and your agents might not bother talking about it because they don’t want to risk their jobs. So, it’s crucial to recognize the subtle signs, such as decreased productivity, routine mistakes, exhaustion, disengagement, and a lack of motivation.
Frequent clashes with other support reps or customers are also a pointer. Instead of being critical, step in to understand why and implement measures to address them, including providing time off if necessary.
2. Create a feedback chain between the team and organization leaders
Design a system that allows your agents to report factors that predispose to burnout like excess ticket allocations or unrealistic performance expectations. This could be a monthly survey, digital feedback integrated with every employee’s dashboard, and traditional office boxes.
The feedback should also be optionally anonymous to avoid job threats from indicted employees, including team leads and managers. Review each entry carefully and respond to your support team. You can also host bi-monthly review sessions or open spaces to collect live feedback and make your agents feel heard.
3. Establish a healthy working environment and culture
Identify factors such as unrealistic expectations, lack of recognition and appreciation for milestones met, illegal demands for overtime, unhealthy cut-throat competitions, and eliminate them.
Create a gamified reward system which recognizes and appreciates your agents for every milestone crossed. For instance, if an agent resolves ten complex queries on a streak without any callbacks from customers on the same issue, that deserves a shoutout or a monetized reward.
Address overtime and moderate expectations—your agents are humans, not bots. Also, build a healthy culture by introducing engaging off-work activities such as team outings, wellness programs, casual game nights, and mindfulness sessions. 45% of employees say vacations work for them.
Engaged employees are 71% less likely to experience burnout.
4. Moderate workload per agent as much as possible
Scale your customer support team according to your business needs. The more customers you onboard, the more queries you will receive and the more hands you will need to handle them.
Most importantly, recognize that each agent has a different capacity for handling complaints—so avoid setting a fixed, one-size-fits-all quota. A better approach is to assess each agent’s past productivity based on their previous performance data. Use this information to assign workloads more effectively, ensuring that agents are neither overwhelmed nor underutilized.
AI solutions for customer service burnout
Effective utilization of solutions integrated with AI in customer service helps eliminate burnout proactively and boosts productivity by up to 66%. Let’s see how it works.
1. Integrate Chatbots to handle routine requests
AI-powered chatbots can manage routine L1 tasks such as processing order status inquiries, resetting passwords, answering recurring questions, handling basic troubleshooting, updating account details, and guiding customers through simple self-service options.
This prevents ticket overload and helps your agents focus on managing a few complex requests that bots cannot handle.
As an omnichannel customer service platform with several AI-powered features, Plivo CX offers an OpenAI-powered self-service chatbot. It is designed to take the pressure off your team, escalate difficult queries to agents, and reduce time to resolution.

2. Use a routing system to assign tickets to appropriate agents
AI-driven routing systems intelligently assign tickets to the right agents by analyzing customer data, agent availability, performance metrics, and the complexity of the query. This helps to reduce burnout by ensuring that workloads are distributed fairly and preventing individual agents from being overwhelmed with difficult or excessive tasks.
Plivo CX offers a powerful automation workflow builder to help you design skill-based routing pathways, which ensures tickets are routed to appropriate agents, in addition. Plivo CX’s in-app customer service solution utilizes customer data to allocate live chats to your support team members.

3. Employ GenAI to assist agents
There are moments when you’re stuck and unsure of how to respond to a customer, particularly during peak hours when there’s an influx of customer queries.
Generative AI leverages existing data to curate a relevant reply, which your agents can modify if necessary and send right away. By reducing response time and cognitive load, GenAI thus minimizes stress, prevents decision fatigue, and helps agents stay focused—ultimately reducing burnout.
You can use solutions like Plivo CX’s in-app customer service, which equips your agents with the best snippets to use every time and enables them to give quicker, more accurate responses.

Reduce customer service burnout with Plivo CX
Plivo CX’s in-app customer service solution lets you seamlessly integrate AI-powered chatbots into your apps. This bot reduces burnout by automating routine and monotonous requests so your agents can focus on core customer inquiries.
With a built-in data-routing feature, your chatbots can efficiently escalate and assign live chats to the most suitable agents, ensuring fair distribution and accelerating resolution times.

Plivo CX also 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 service 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, provide timely updates, and adapt quickly to changes with AI-powered support and proactive service.
- 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!

Guide To SMS Delivery Reports
Learn how SMS delivery reports work and why they matter. Know about the best practices to improve engagement and SMS campaign performance.
Every SMS marketing campaign depends on a singular, fundamental factor—successful message delivery. Businesses rely on SMS to engage their audience effectively, whether it’s a promotional offer, a transactional update, or an appointment reminder.
But what happens when a message doesn’t reach its intended recipient?
SMS delivery reports provide critical insights into message status, helping businesses track success rates and optimize their communication strategy.
With global A2P (application-to-person) SMS revenues projected to reach $78 million by 2027, understanding delivery trends is more crucial than ever.
In this article, we’ll break down how SMS delivery reports work, the key insights they offer, common reasons for delivery failures, and best practices to improve SMS deliverability.
How do SMS delivery reports work?
An SMS delivery report (DLR) is a status notification that confirms whether a sent message has been successfully delivered to the recipient's device.
These reports provide real-time updates on the status of messages sent and help businesses track whether their messages are successfully delivered, pending, or failed. They offer key insights to optimize SMS marketing and customer communication.
Imagine an e-commerce store sending an order confirmation SMS to a customer. If the message is marked as "Delivered," the store knows the customer has received it. However, if the status shows "Failed" or "Pending," they can investigate—was it a wrong number, carrier issue, or the recipient’s phone turned off?
With this insight, the business can resend messages, update contact lists, or optimize delivery times to ensure critical updates reach customers efficiently.
For businesses relying on SMS for engagement, SMS delivery reports serve as a performance checkpoint, ensuring messages reach their intended recipients.
By analyzing these reports, companies can refine their messaging strategies, improve deliverability, and enhance customer interactions.
Key insights from SMS delivery reports
Each SMS sent goes through a verification process that determines its final status. By understanding the different delivery statuses, businesses can fine-tune their SMS strategies for better engagement and higher conversion rates.
Here’s what the different SMS delivery reports indicate:
1. Delivered ✅
- The message has successfully reached the recipient’s mobile device
- Indicates a functional phone number and a network that accepted the message
2. Failed ❌
- The message could not be delivered due to issues like:
- Invalid or deactivated phone number
- Network errors or carrier restrictions
- The recipient’s phone being switched off for an extended period
- Businesses should monitor failed messages to clean contact lists and improve targeting
3. Pending ⏳
- The message is still in transit and waiting for a final status update
- Common reasons include:
- Temporary network congestion
- The recipient’s device is turned off or out of coverage
- Carrier delays in processing the message
- Pending messages may eventually be delivered or fail depending on network conditions
4. Rejected 🚫
- The message was actively blocked by the carrier or recipient’s device
- Possible reasons:
- The recipient is on a Do Not Disturb (DND) list
- The carrier has spam filters that flag the message
- The recipient manually blocked SMS from the sender
- To minimize rejections, businesses should comply with SMS regulations and ensure recipients have opted in
5. Unknown ❓
- The final delivery status could not be determined
- Possible reasons:
- No response from the recipient’s carrier
- The message was sent but the carrier failed to report its status
- Since unknown statuses can create uncertainty, businesses should monitor trends and optimize their SMS routing strategy
Why SMS delivery reports matter:
- Helps businesses identify delivery issues and improve audience targeting
- Ensures higher SMS engagement rates by removing inactive numbers
- Enables businesses to adjust message content to avoid spam filters
By analyzing SMS delivery reports, businesses can gain a data-driven advantage in their SMS campaigns. This ensures higher deliverability and reduced SMS delivery failures.
Common reasons for SMS delivery failures
Even with a reliable SMS gateway, some messages fail to reach recipients due to various reasons. Here are the most common issues:
How to use SMS delivery reports for better engagement
Businesses can optimize messaging strategies by analyzing delivery report data. Here’s how you can use SMS delivery reports strategically to refine your engagement tactics:
Fixing failed message issues
If your delivery reports show a high percentage of failed messages, it’s a clear sign that something needs fixing. Monitoring these reports helps businesses identify patterns and address issues like invalid numbers or carrier restrictions.
96% of consumers have felt annoyed by SMS marketing messages, which can lead them to block senders or mark messages as spam, further reducing deliverability. Regularly reviewing delivery reports ensures your messages don’t get lost in spam filters.
Sending messages at the right time
Timing directly affects SMS engagement and deliverability. Analyzing delivery reports helps identify when recipients are most likely to respond. Messages sent too early or too late may be ignored, while poorly timed promotions can lead to higher opt-out rates.
For example, Papa Murphy’s, a take-and-bake pizza brand, used SMS campaigns strategically by offering discounts during slow business hours, leading to a 17% increase in in-store traffic.
By using delivery reports to track response patterns, businesses can fine-tune their messaging schedules to maximize impact.
Optimizing SMS content to avoid spam filters
To improve SMS deliverability, focus on clarity, value, and relevance. Messages should be concise, legally compliant, and free from spam triggers.
Instead of generic promotions, personalize content based on user behavior, purchase history, or location to increase engagement.
For example, instead of a vague discount offer, send:
"Hey [Name], your favorite sneakers are back in stock! Grab them now with 10% off: [link]"
Segment audiences for higher deliverability
Not all customers engage with messages in the same way. Using delivery reports to segment audiences based on engagement and preferences ensures that messages are relevant.
This increases the likelihood of successful delivery and customer interaction.
Example 1: VIP customers (Frequent buyers)
"Hey [Name], as a valued customer, here’s early access to our exclusive sale! Enjoy 25% off before anyone else. Shop now 👉 [Link]"
Example 2: Inactive customers (Haven’t purchased in a while)
"Hi [Name], it’s been a while! We’ve got 15% off just for you to make your comeback special. Use code WELCOME15 at checkout. 🛒 Shop now 👉 [Link]"
Reduce costs by eliminating invalid numbers
Failed delivery reports indicate inactive or incorrect numbers. Removing these from your list ensures you’re not wasting resources on undeliverable messages, improving both cost efficiency and targeting accuracy.
Best practices for improving SMS delivery rate
Improving SMS delivery rates is crucial for effective communication and customer engagement. Implementing these best practices helps ensure messages reach the right audience without delays or failures.
A healthy clean contact list = Higher deliverability
Keeping a clean and updated SMS contact list is essential for improving delivery rates and reducing message failures. 47% of U.S. millennials appreciate receiving SMS messages from brands they've opted into, emphasizing the importance of targeting engaged subscribers.
Regularly removing invalid numbers, duplicate contacts, and inactive subscribers ensures messages reach the right audience. This minimizes delivery failures and compliance risks.
A well-maintained SMS list enhances engagement, reduces costs, and improves overall SMS campaign performance.
Send SMS when customers are ready to act
Beyond analyzing past reports, businesses should proactively test and refine their messaging times. A/B testing different send times and tracking responses can help identify optimal engagement windows.
For U.S. audiences, compliance with TCPA regulations is important. Messages should not be sent before 8 AM or after 9 PM in the recipient’s time zone. While mid-afternoon tends to perform well, avoiding Mondays and peak rush hours can prevent messages from being overlooked.
By continuously optimizing send times, businesses can enhance engagement, minimize opt-outs, and ensure compliance as well.
Failed or delivered? Use reports to refine your SMS strategy
Utilizing delivery reports allows businesses to track the success of their SMS campaigns. Companies can spot trends, identify issues, and adjust strategies by analyzing these reports.
For example, if many messages are undelivered, it may indicate issues with carrier compatibility or the need for content optimization.
Follow the regulations to improve SMS delivery
Following TCPA and GDPR regulations is crucial for SMS deliverability and customer trust. Businesses must obtain explicit consent before sending marketing messages, ensuring compliance and avoiding penalties.
Using double opt-in confirms subscriber interest, reducing spam complaints and improving engagement rates. A well-managed opt-in/out process keeps your SMS list clean, enhances deliverability, and builds long-term customer relationships.
Choose a reliable SMS gateway
Partnering with a trusted SMS gateway ensures high deliverability and reliable message transmission. A reputable provider offers strong infrastructure, regulatory compliance, and carrier relationships to prevent message failures and filtering issues.
Plivo CX, an advanced omnichannel SMS marketing platform, helps businesses optimize message delivery, track performance, and engage customers with precision.
With AI-driven insights and intelligent segmentation, brands can improve SMS deliverability, reduce costs, and maximize campaign success effortlessly.
Elevate your SMS strategy with Plivo CX delivery tracking report
Many businesses struggle with SMS delivery issues due to failed messages, spam filters, or poor timing. These challenges can lead to missed opportunities, reduced engagement, and wasted marketing budget.
Without real-time insights, identifying why messages fail and how to fix them becomes difficult.
Plivo CX simplifies SMS campaign management, providing businesses with real-time delivery insights, AI-powered automation, and intelligent customer segmentation to optimize messaging strategies and improve deliverability.
Whether you’re sending promotional offers, transactional updates, or appointment reminders, Plivo CX helps you automate and personalize your SMS outreach, ensuring every message counts.
Here’s why Plivo CX is the smart choice for reliable and data-driven SMS campaigns:
- Performance insights: Plivo CX tracks key campaign metrics to measure ROI and optimize delivery, as well as your SMS strategy. Get real-time insights to see what works and adjust for better engagement and conversions.

- Seamless E-commerce integrations: Integrate with e-commerce stores like Shopify, BigCommerce, WooCommerce, and Magento to personalize SMS campaigns and send SMS directly from your e-commerce system.
- Timely engagement: Schedule messages strategically across time zones to maximize deliverability and engagement. Schedule messages at optimal times across time zones.

- Leverage browsing behavior: Use session data to send personalized offers and product recommendations based on customer interests. Tailored messages increase engagement and drive higher conversion rates.
- Craft engaging messages: With Copywriter AI, generate and send messages instantly, ensuring they reach recipients at the right time. Use AI-driven suggestions and pre-built templates to create personalized SMS messages that improve deliverability and customer engagement.

- Customer segmentation: Use the Audience feature and segment your customers using purchase history, spending habits, and engagement data for better targeting. Smart segmentation ensures the right message reaches the right customer at the right time.

- Welcome new customers: Make a great first impression with personalized welcomes and exclusive discounts for new subscribers. Start building customer loyalty from day one with engaging, value-driven messages.

- Send campaign announcements: Keep your audience in the loop with product launches, flash sales, restocks, and new arrivals. Timely updates ensure customers never miss out on limited-time offers.

With Plivo’s premium carrier network covering 220+ countries, businesses can cut SMS costs by up to 70% while tripling ROI. On average, Plivo CX users generate $71 for every $1 spent, making it a powerful tool for e-commerce businesses.
Don’t let failed messages impact your business. Take control of your SMS strategy, improve deliverability, and maximize engagement with Plivo CX.
Book a free demo today and experience smarter, more effective SMS marketing!

How to Implement 24/7 Customer Service for Your E-Commerce Business
Learn how to implement 24/7 customer service for your e-commerce business. Discover actionable strategies, examples and insights to meet customer expectations.
“We’re closed at the moment. Please reach out again during our business hours.”
Imagine contacting customer support in an emergency, and this is how they respond. Frustrating?
According to The Consumer Patience Study, 50% of customers are less likely to spend money on a business that takes longer to respond. If you’re unavailable when your customers need you, your competitors will be.
That’s why 24/7 customer support is critical for e-commerce businesses. It keeps customers engaged, reduces cart abandonment, and drives repeat sales.
So, how do you ensure your customers get the help they need anytime, anywhere? This blog post will show you how to implement effective 24/7 customer service that keeps your business running and your customers returning.
5 ways to offer 24/7 customer service as an e-commerce business
Data from The Harvard Business Review revealed that taking longer than five minutes to respond to a lead can reduce your lead qualification success rate by 10 times. Delaying your response to between five and ten minutes can result in a 400% drop in success.
Here are five practical ways to deliver 24/7 customer service and enhance customer satisfaction.
Chatbots
Chatbots can simulate human-like conversations with customers in real time. They can guide customers toward resolving their issues and handle tasks like order tracking, product recommendations, and FAQs.
For small and mid-sized e-commerce businesses, chatbots are a cost-effective way to deliver 24/7 customer service without hiring additional staff.
In fact, data from Leadoo shows that websites using chatbots can boost conversion rates by 10-100%.
Brooklinen employs AI-powered chatbots on its website to assist customers with product inquiries, order tracking, and common support questions. The bots are available 24/7 to provide assistance outside regular business hours.

Omnichannel Communication
Customers reach out through multiple channels—email, chat, phone, and social media—and want a consistent experience no matter what channel they use.
Omnichannel support ensures customers don’t have to repeat information or start from the beginning whenever they switch channels. This approach can help e-commerce businesses maintain context and personalized support while being available on multiple platforms to offer round-the-clock customer support.
Orvis, a fishing gear and apparel brand, has a great omnichannel strategy. It is so good that they have literally won an award for it.
The channels used include:
- Retail locations
- Online website
- Social media platforms, including Instagram and Pinterest
- Amazon storefront

Self-service options
Self-service options empower customers to solve issues on their own. This includes embedding resources like help centers, in-app tutorials and knowledge bases within your website.
A good self-service resource is well-organized, up-to-date, and easy to navigate. It typically includes helpful information about your products. This could be guides, videos, FAQs or blog posts available 24/7, even when your team is not.
Allbirds, known for their sustainable shoes, offers a comprehensive FAQ section covering everything from sizing to returns. It also features an articles section that discusses trends and guides customers in finding the proper footwear for different occasions.

5. Community forums
Never underestimate the power of active community forums. Active online communities are valuable knowledge repositories.
A well-designed forum allows customers to interact and share experiences about products and services. This approach can also greatly reduce the burden on your support team while allowing customers to access information independently 24/7.
Glossier, a beauty brand, maintains an active community space on Reddit where customers discuss products, share beauty tips, and troubleshoot common issues. Businesses can use platforms like Discourse or Reddit to build similar customer communities and maintain a strong online presence that is accessible 24/7.

Social media monitoring
Social media can help you constantly monitor consumer needs and sentiments while expanding your round-the-cloud customer support capabilities. To stay visible on social media, regularly share valuable content, promptly reply to comments and inquiries, and engage in relevant social media conversations.
This will also allow you to understand how customers perceive your brand while identifying issues early, even outside of business hours. Addressing concerns before they escalate will foster a reputation for responsiveness among your customers.
II Makiage does it perfectly by replying to user comments smartly. When a prospective customer commented about being confused about foundation shades, it immediately responded with a quiz link to help the user find a suitable shade.

7 steps to implement round-the-clock customer support
Here are seven effective steps to help you implement round-the-clock customer support without stretching your team too thin:
1. Analyze your customer base
If your customer base spans different time zones, round-the-clock customer support is essential to ensure prompt assistance regardless of location. Analyze customer support inquiries to identify peak hours and whether extended support is needed.
Understanding customer preferences will also help you determine the most effective channels, such as self-service options or personalized phone support.
2. Evaluate the cost and benefits
Consider the expenses of hiring a 24/7 support team, investing in necessary technology, and providing staff training. Weigh these costs against the potential gains, such as higher customer satisfaction, lower churn rates, and a stronger brand reputation.
Begin with a limited approach and expand gradually. You don’t need to launch a complete 24/7 support system right away. To gauge the results, try extending support hours or providing live chat during high-traffic periods. As customer demand grows, you can adjust and expand your support accordingly.
3. Choose the right technology
Use technology to deliver efficient 24/7 customer support. Invest in a reliable customer service platform to manage and resolve issues faster.
Deploy AI-powered chatbots to handle basic questions and simple tasks, allowing your team to focus on more complex problems. Build a detailed knowledge base so your customers can easily find answers independently.
4. Establish clear internal protocols
Create escalation protocols, define response time standards, implement clear communication channels between teams, and develop standardized workflows for dealing with different customer inquiries.
This will ensure support issues are tracked, routed and resolved systematically, minimizing delays.
5. Set response times based on the query type and channel used
Customer inquiries have varying levels of urgency. Issues like payment failures, order cancellations, or delivery delays need immediate attention, while questions about product details or return policies can allow for more flexible response times.
You can improve support efficiency by categorizing these queries and assigning them to the right communication channels with clear response time expectations.
For example, live chat can handle urgent concerns like tracking lost packages or fixing checkout errors. Respond to email inquiries for more detailed questions about bulk orders or product specifications.
Direct customers to community forums for topics like styling tips or user reviews, which aren’t time-sensitive. This method ensures every customer receives prompt and appropriate support based on their needs.
6. Conduct regular staff training
Equip your team with deep product knowledge, good communication skills, and the ability to manage customers in diverse scenarios. The training should cover technical and customer service skills like communication, collaboration, and empathy. Ongoing professional development ensures support staff can provide efficient support at any time of the day.
7. Deploy automation and plan for scalability
Finally, use AI and automation to speed up assistance and response times. Tools like AI agents and machine learning-driven support solutions can manage a large number of routine inquiries and provide 24/7 customer service.
Best practices for providing 24/ customer service
Industries like e-commerce have a higher expectation of round-the-clock customer support because customers often shop outside traditional business hours and expect immediate assistance for issues such as order tracking, product availability, or payment problems.
Follow these best practices to ensure you do it right:
- Clearly communicate support hours: Make your availability easy to find on your website, social media pages, and order confirmation emails. If you serve customers across different time zones, consider listing multiple time slots
- Set response time expectations: Let customers know when to expect a reply during business hours. For example, provide estimated response times for emails or typical wait times for live chat
- Prioritize self-service: A well-structured FAQ page, knowledge base, and order-tracking tool can help customers resolve common issues on their own, reducing the need for direct support
- Use automated responses after hours: Set up auto-replies for emails and AI-powered chat to acknowledge messages received outside business hours. Include helpful links to self-service resources so customers can find answers while they wait
- Respond quickly when available: During business hours, ensure your team addresses inquiries promptly. Fast responses build trust and show customers that their concerns matter
- Extend support during peak periods: If you receive more inquiries during sales events or holiday seasons, consider temporarily extending support hours to manage demand efficiently
Accelerate response times and offer 24/7 support with Plivo CX
Incorporating 24/7 customer service doesn’t have to mean constant human availability. It’s more about the strategies and tools you use.
Plivo CX can be the perfect support to help you provide seamless customer service, ensuring your customers receive timely assistance even when your team isn’t available. It is an AI-powered, omnichannel customer support platform perfect for small—to mid-sized e-commerce businesses.
The platform's open AI-powered chatbots can proactively handle customer inquiries 24/7 across multiple communication channels.
Key features include:
- AI self-service chatbots: Offer quick, accurate answers to common inquiries while escalating complex issues with detailed summaries to human agents when necessary
- In-app customer service: Seamlessly exchange media and document exchange for quicker issue resolution and direct live chats to the best-suited agents
- Omnichannel support: Manage customer interactions across email, SMS, WhatsApp, voice, and live chat from a unified platform, maintaining context and continuity across channels
- Unified agent desktop: Provide agents with a comprehensive view of customer data, allowing them to resolve issues faster and more effectively
- Detailed customer insights: Use AI to analyze conversations and identify opportunities for service improvements and business growth
- Agent training tools: Enhance agent performance with call recordings, real-time feedback, and discreet coaching.
Book a demo with us today!

AI in Customer Service: How Enterprises Can Improve Support and Efficiency
Discover how AI in customer service for enterprises provides faster support, reduces costs, and improves customer satisfaction. Learn with real-life use cases.
Imagine a customer buying a product online but wanting to return it in-store. Another shopper visits a physical store and later reaches out to a chatbot for support. Today’s consumers expect a seamless blend of online and offline experiences.
Enterprises must adapt their customer service strategies to meet these expectations. With e-commerce expanding, customers demand flexibility—fast online support, easy in-store pickups, and smooth returns. AI plays a key role in making this possible by providing instant responses and personalizing customer interaction in every way.
This blog post will explore the role of AI in enterprise customer service, real-life use cases, how to implement it and future AI scenarios.
What is AI in customer service for enterprises?
AI in customer service for enterprises is the use of AI technologies to enhance, automate, and optimize customer interactions at scale. It involves leveraging AI tools and systems such as chatbots, virtual assistants, and machine learning algorithms to provide instant responses, personalize assistance and improve the overall customer experience.
Enterprises use AI to handle large volumes of customer queries, automate customer service workflows, and even predict customer needs before they arise.
Benefits of AI in customer service
According to a Salesforce report, 83% of customers expect to interact with someone immediately when they contact a company. Thank God for AI; it is possible now.
Here are some ways AI can be beneficial for enterprises:
Hyper-personalized interactions
AI accesses your company’s data to understand your customers and create interactions that feel personal and more connected. When a customer interacts with a chatbot, AI populates important information such as the customer’s name, location, email address, and preferred language in real time.
Accordingly, the chatbot or human agent can interact with the customer with contextual information and offer personal assistance as needed.
Round-the-clock availability
Since most enterprises operate globally, customer service cannot be limited to business hours. AI ensures customers receive instant 24/7 assistance regardless of location or time zone. This is possible because AI-powered chatbots and virtual assistants simulate human-like conversations without human agents' intervention.
For instance, Microsoft’s AI-driven customer support helps users troubleshoot technical issues at any hour.
Better productivity and efficiency
Without AI in customer service, agents would be swinging back and forth between screens to view customer history, routing field workers to service locations, and manually typing responses. AI makes this process easy and efficient by giving agents intelligent recommendations, conversational insights, and customer data.
In fact, AI-based conversational assistants can increase agents' productivity by 14% on average.
Greater scalability
Enterprises keep growing, and so do the demands on customer service operations. AI solutions are designed to scale up and down with fluctuating volumes, keeping consistency and quality reliable.
For example, during peak seasons like Black Friday or product launches, enterprises such as Amazon and Walmart rely on AI-driven customer support to handle surges in demand without hiring additional staff.
Data-driven insights
AI can analyze customer calls, emails, and chatbot conversations to determine when an issue is likely to escalate, the time it will take to resolve an issue and whether a customer will require any assistance in the future.
For instance, if there is a delay in delivery, a chatbot can proactively apprise the customer and offer compensation, such as coupons, to minimize escalations.
Proactive service experience
As previously mentioned, AI can draw information from customers’ warranties, purchase history, and marketing data to determine the best next action.
To give an example, AI can notify customers when it’s time to renew a subscription, remind them of an appointment, or offer a product upgrade or discount.
Uses of AI in customer service for enterprises
Top-performing enterprises are more likely to benefit from AI. A cloud and business AI survey by PWC revealed that forward-thinking companies are 2x more likely to realize value from AI, with 69% experiencing improved customer service.
Let’s understand how global enterprises are using AI in customer service to improve experiences:
Personal assistance with chatbots
AI-powered chatbots are super-charged assistants that can help you with everything. Whether you're looking for a sweatshirt in the color pink or returning a coffee mug, you ask, and they will deliver. They are also available round the clock, so you don’t have to worry about checking your schedule to chat with them.
One such wonder chatbot is H&M’s AI-powered Kik, which provides fashion recommendations to users. The chatbot uses NLP to understand user requests and offer personalized styling tips. It is available on the Kik messenger app, with 15 million monthly active users.

Accurate prediction of customer needs
Enterprises use AI to examine social media interactions, browsing history and customer feedback to get a fuller picture of customers. AI can give insights into factors that influence human behavior, such as:
- Emotions and psychology: Feelings and mood when interacting with a chatbot or agent
- Social proof: Recommendations and reviews to influence buying behavior
- Personal values: Ethical considerations that impact buying habits like sustainability
For example, IKEA uses predictive analytics to optimize customer experiences by knowing customer needs before they say it. They analyze the behaviors and preferences of customers to make manufacturing decisions and for range planning.

Sentiment analysis with advanced analytics
Sentiment analysis pulls data from all interactions, such as phone calls, messages, support tickets, and product reviews, to analyze customer interactions and feedback in real time.
This helps businesses identify negative or positive sentiment drivers and gain insights into customer sentiment. The key goal is understanding a customer’s feelings and emotions towards the brand.
Amazon leverages the power of sentiment analysis to analyze a wide array of customer reviews meticulously. For example, sentiment analysis can uncover patterns when customers consistently praise a specific feature, such as user-friendliness or durability. It then enhances products aligned with customer preferences and incorporates these features into its marketing efforts to establish deeper customer relationships.

Omnichannel support for easier interactions
The omnichannel approach is the gold standard for treating customers in today’s business world. It’s allowing customers to leave one channel and pick up conversations on another as if they never left. This way, customers have a unified experience across platforms and channels.
Crate & Barrel implements an omnichannel to provide a frictionless customer experience. Whenever a consumer logs into their account, the app saves their shopping data so they can access this across multiple devices. This allows customers to continue shopping from where they’ve left.

Self-service options through knowledge bases
AI-powered self-service bases are a repository of information and tools that allow customers to find solutions independently without waiting for a service agent. They are a standard expectation in business and comprise diverse components such as detailed articles, multimedia content, and mechanisms for user feedback.
eBay has a very well-designed knowledge base that caters to its global customers. It features a search bar and a list of popular articles and categories that customers can browse for information.
The platform does a great job of providing detailed articles on how to use the platform for new customers. At the end of every article, customers are asked to rate the usefulness of the article.

How to implement AI in customer service
Follow the steps below to implement and integrate AI in customer service for enterprises:
1. Assess business needs
Identify which areas of your support operations will benefit most from AI integration. Analyze your current processes, customer pain points, and support team challenges to set clear objectives for what you hope to achieve with AI.
2. Define goals and objectives
Identify common customer queries, concerns, and requests to define goals and objectives. This could be any area of your customer support approach, such as reducing response times, improving first-contact resolution rates, or enhancing overall customer satisfaction.
3. Choose the right AI platform
After identifying your needs and objectives, research various AI tools and platforms that align with your business goals and requirements. Consider important features such as integration capabilities, scalability, and user reviews when assessing different options.
4. Integrate with existing solutions
Now, ensure your tools fit your current customer service setups. This may need API integrations, data syncing, or other technical configurations. Also, conduct pilot tests to identify and address any integration issues before deployment. This will help you resolve potential problems early in the process.
5. Train your agents
Provide ongoing training for your agents on how to use and navigate the AI tools effectively. The training should cover the technical aspects of using the systems and how to collaborate with AI to provide superior customer support.
Offer frequent training, support and resources to assist your team in transitioning successfully, and ask for feedback on the new processes.
6. Ensure compliance and data privacy
To ensure secure handling and storing of customer data, maintain strict compliance with data protection and privacy regulations such as GDPR, HIPAA, and PCI DSS.
Frequently update privacy policies and practices to comply with changing regulations and be transparent about how customer data is stored and handled.
7. Monitor and optimize regularly
Regularly monitor the effectiveness of your AI-powered customer service system. Evaluate crucial metrics such as response time, CSAT score, and issue resolution rates. Utilize this data to strategize ongoing enhancements and refinements,
Future of AI in customer service
According to a report by Grand View Research, the growth rate for AI is expected to surge by 36.6% annually between 2023 and 2030.
Let’s understand its role in future customer service operations:
Automation will be the driving force of operations
Enterprises are constantly pushing the boundaries of automation, which will happen more in the coming years. Customers won’t have to wait to interact with a human agent for simple queries. AI-powered automation will handle highly complex tasks with minimal human intervention and streamline internal processes and decision-making workflows.
AI will be an ally, not a competition
With the growing use of AI, people wonder whether it will take their jobs. The answer is simple—no. AI will not replace humans but will work alongside them to boost productivity and streamline processes so they can focus on complex conversations and decisions.
AI can also help agents refine their tone and approach by offering real-time insights and relevant scripts to guide conversations.
Human care will still matter
Surely, AI can make many things better and work with perfection and accuracy. However, it cannot replicate the human emotions of care and empathy. Customers experience varying emotions when dealing with a customer service agent. AI can detect these emotions, while humans ensure customers feel heard, understood and respected.
Understand your customers better with Plivo CX
Plivo CX is a cloud-based, AI-driven omnichannel customer service platform designed to help businesses deliver fast, efficient, and personalized customer support. It integrates with your existing tools and systems, ensuring smooth operations across multiple channels.
Some of its key features include:
- OpenAI-powered chatbots: Provide instant, accurate responses and escalate issues when needed. Also, train the chatbot using your company’s custom datasets, allowing for precise and relevant responses to customer queries, always.
- In-app customer service: Route live chat to the most appropriate agents. Send and receive media and documents effortlessly for faster resolutions


- Unified agent desktop: Manage customer interactions across email, voice, SMS, WhatsApp, and live chat in one place
- CRM Integration: Access customer data from your CRM for more personalized support
- Real-time analytics: Track customer interactions and agent performance for continuous improvement
- Visual workflow builder: Create custom workflows using a no-code drag-and-drop interface
- Interactive voice response (IVR): Automate call routing for faster support
- Agent Coaching Tools: Monitor agent performance with call recording, barge, and whisper features
- Security and Compliance: Protect customer data with enterprise-grade security (SOC 2, GDPR, HIPAA, PCI DSS)
Book a demo to learn more.

AI Agent Use Cases: Transforming Customer Support with Automation
Explore AI agent use cases to understand how AI transforms customer service by automating support processes and providing real-time assistance.
The AI agents market is expected to grow from USD 5.1 billion in 2024 to USD 47.1 billion in 2030, with a remarkable CAGR of 44.8%. This growth will not only be seen in AI adoption but also in how they operate.
For example, in 2023, an AI bot mainly supported call center representatives by synthesizing and summarizing large volumes of data to respond to customer queries.
However, fast forward to 2025, and an AI agent can do much more. It can converse with a customer and plan actions like processing a payment, checking for fraud, and completing a shipping action.
This blog post will discuss the concept of an AI agent and the best AI agent use cases worldwide to highlight the impressive utilization of AI in customer service.
What is an AI agent?
An AI agent is a system or program that can autonomously respond to situations and perform tasks based on the information it has. It takes inputs or information from its environment, processes it, and then acts upon it.
AI agents utilize technologies like ML, GenAI, LLM, and NLP to understand and respond to customer needs and streamline the customer experience.
What can AI agents do?
AI agents can perform various operations—from task-specific programs to sophisticated systems integrating perception, reasoning, and decision-making capabilities.
Most agents follow a specific workflow when performing assigned tasks that include:
Data collection and analysis
The first step is to gather data from various sources, including transaction histories, customer interaction, and social media. It then analyzes the data to understand the context and nuances of customer queries. The agents process the data in real time to provide the most up-to-date information.
Decision-making
AI agents then use sophisticated learning models such as NLP, sentiment analysis, and classification algorithms to identify patterns in the collected data and make decisions.
In this case, NLP processes and understands user input, sentiment analysis assesses tone and intent, and classification algorithms determine the most appropriate response.
For example, when managing a support ticket, the AI agent can assess its content and urgency to decide whether to resolve it automatically or escalate it to a human agent.
Action execution
Once a decision is made, the AI agents implement the task through their output interfaces. This could include responding to customer queries, processing requests, updating databases, or sending commands to other systems.
For example, they could send automated troubleshooting steps, route the ticket to a specialized department, or flag it for immediate human attention.
Adapt from interaction
AI agents continuously learn and adapt from each interaction, refining their algorithms to improve accuracy and effectiveness. This may include updating knowledge bases and using feedback to enhance future interactions.
The continuous learning capability ensures that AI agents remain relevant to changing customer expectations and business environments.

Top AI agents use cases in customer service
“The playing field is poised to become a lot more competitive, and businesses that don’t deploy AI and data to help them innovate in everything they do will be at a disadvantage.”
—Paul Daugherty, chief technology and innovation officer, Accenture
Let’s understand how top companies worldwide are leveraging AI to offer outstanding customer service with these AI agent use cases:
Personalized recommendations by Amazon
Amazon‘s AI agents personalize your shopping by analyzing your activity and recommending products on the homepage, product pages, and emails.
Here are some ways it personalizes user experience :
- Product recommendations: Based on user browsing and purchase history, Amazon suggests relevant products
- Personalized descriptions: Product details are tailored to highlight features you care about
- Size recommendations: To recommend the ideal fit, the agents examine brand sizing, customer feedback, and a shopper's purchase history
- Fit review highlights: AI agents can extract key insights from customer reviews, helping you decide if an item runs small or large
- More accurate size charts: Cleaning and standardization play a role in data accuracy for size charts. AI Agents handle these processes
- Fit insights for brands: AI agents also help brands improve sizing and reduce returns

Starbucks’ voice shopping
Starbucks has partnered with Alexa, one of the most famous AI agents, to allow customers to order their coffee hands-free. Imagine talking to Alexa and placing your morning coffee order while you go to work.
The process has become so convenient and popular that this mobile ordering program drives 20% of transactions during peak hours.
Placing an order is pretty simple, too. All you have to do is say, “Alexa, tell Starbucks to place my usual order.” The AI agent will reply with the usual order, costs, and which branch it will be sent to.
Once the customer confirms the order, it is immediately sent to the Starbucks branch to be prepared. The coffee is ready to be delivered by the time the customer arrives.

Airbnb’s multilingual customer support
With its AI agent, Airbnb caters to a diverse global user base in multiple countries. It utilizes conversational AI systems that use NLP and machine learning to handle customer inquiries across multiple languages.
The AI agents can:
- Automatically recognize and switch between languages
- Provide 24/7 support for guests and hosts
- Resolve common issues without human agent intervention
- Automatically translate property listings
- Supports over 60 languages
- Communicate fluently in multiple languages
- Automatically translate and relay messages
- Handle inquiries from guests around the world
The AI agents help Airbnb overcome language barriers, improve guest satisfaction, and streamline customer support operations by offering efficient, immediate, and personalized multilingual assistance.

H&M’s Chatbots
One of the world’s leading fashion retailers, H&M, has implemented AI-powered chatbots to handle inquiries, streamline operations, and provide personalized assistance.
Some of the features of H&M’s chatbots include:
- Instant customer support: Provides quick answers about order tracking, return policies, and store locations
- Personal shopping assistance: Recommends products based on browsing history and past purchases
- Simplified returns & exchanges: Generates return labels and guides customers through the process
- Multilingual support: Assists customers in multiple languages for a seamless experience
- Proactive engagement: Sends reminders for promotions, restocked items, and abandoned carts
- High-volume handling: Manages spikes in customer inquiries during sales and holiday seasons

Alen’s digital shopping assistant
45% of surveyed millennials want a personalized experience when shopping online. This can be achieved by deploying a shopping assistant as it can guide customers to the most relevant products.
An AI shopping agent can create a consultative experience and highlight product features and specs that matter to the shopper’s needs. This can accelerate the buyer’s journey from discovery to purchase.
Alen uses a digital assistant that guides users in finding the most appropriate air purifier for their indoor spaces. Users must input room dimensions, specific air quality concerns like allergies or odors, and future preferences.
AI will then pull out the top-rated Alen models with particular details about coverage areas, filter types, and innovative features.

Amazon’s visual search agent
With a 70% rise in visual searches globally, Amazon is focusing on making searches more intuitive and personalized. It has added several new features to enhance the mobile visual search experience with Rufus, an AI shopping agent that helps customers discover products effortlessly.
Some of its key features include:
- Descriptive image suggestions: As customers type a search term, Amazon suggests relevant images to streamline browsing
- Amazon lens upgrades: Users can upload images and add text to refine searches (e.g., specifying color, brand, or material)
- More like this: A quick tap on a product image shows similar items
- Circle to search: Customers can draw a circle around an item in a photo to isolate and search for it
- Integrated product videos: Shoppers can watch videos directly in search results, improving engagement

Sephora’s reservation assistant
Sephora has enhanced its chatbot services with Sephora reservation AI agent, allowing customers to book beauty appointments via Facebook Messenger.
Developed in partnership with Assi.st, this AI-powered feature improves customer engagement, making beauty consultations more accessible and efficient.
How it works:
- Customers message the Sephora chatbot, providing their location in natural language (city, address, or landmark)
- The chatbot finds the nearest Sephora store and displays available appointment times.
- Users can confirm and book instantly, receiving a confirmation email within seconds
Why It Matters:
- Conversational AI: The chatbot understands various ways customers describe their preferred date, time, or location
- Convenience: Eliminates phone calls or manual booking processes
- Instant confirmation: Ensures quick and hassle-free appointment scheduling

Paypal’s fraud detection
PayPal efficiently utilizes AI agents and machine learning to enhance fraud detection and optimize payment authorization rates.
This is how PayPal does it:
- Real-time risk assessment: AI agents assign a risk score to every transaction, analyzing customer behavior in milliseconds to differentiate between legitimate and fraudulent transactions
- Fraud pattern adaptation: Machine learning identifies evolving fraud techniques, such as card cracking and carding attacks, by analyzing vast datasets
- Graph database technology: PayPal processes highly interconnected data from 430M+ accounts across 200+ markets to detect fraud efficiently
- Optimized filters & rules: AI continuously refines fraud detection filters, countering scammers who attempt to bypass security measures

Speed up resolutions with Plivo CX’s AI agents
Plivo CX is an AI-powered omnichannel customer service platform built to integrate effortlessly into your business and support mechanisms.
It brings frequently-used communication channels, such as voice, SMS, WhatsApp, and live chat, under a single window. You can also train OpenAI-powered chatbots using your company’s unique datasets to ensure customer queries are answered with the most relevant and precise information.
Here are some of its top features:
- AI self-service chatbots: Engage with customers across channels by delivering quick and precise responses
- In-app customer service: Direct live chats to the best-suited agents while easily exchanging media and documents for faster issue resolution
- Omnichannel support: Monitor, manage, and track customer interactions across multiple channels from a single platform
- Unified agent desktop: Empower agents with comprehensive customer context and insights within one intuitive application
- Round-the-clock availability: Ensure continuous global support without interruptions
- Simplified escalations with notes: Quickly summarize interactions and seamlessly transfer them to human agents when necessary
- Rich customer insights: Analyze live or recorded conversations to uncover opportunities for growth and improvement
- Agent training tools: Enhance performance with features like call recording, discreet guidance, and real-time intervention
- Automated ticket management: Organize and prioritize incoming tickets automatically so critical issues are addressed promptly
- Interactive voice response (IVR): Set up automated menus to efficiently direct callers to the right team or agent
- CRM integration: Leverage customer data from your existing CRM and technology stack to deliver a more personalized experience
Book a demo with us today!

Your Guide to Friendly Payment Reminders via SMS in 2025 + Templates
Reduce late payments and improve cash flow with SMS payment reminders. Automate, personalize and optimize reminders to ensure timely payments with Plivo CX.
Struggling with overdue payments? You’re not alone. A report from the Federation of Small Businesses (FSB) shows that 37% of businesses face cash flow issues due to late payments, with 30% forced to use overdrafts and 20% seeing a direct impact on profits.
Late payments can strain your cash flow, increase stress, and damage customer relationships. That’s where SMS payment reminders shine.
With SMS’s high open rate, your payment reminders get the attention they need. Incorporating SMS into your strategy can reduce overdue payments and improve results.
Let’s explore why SMS payment reminder works and how you can use it to get the results you need.
What are payment reminder messages?
Payment reminder messages are text messages sent to customers to remind them about an upcoming or overdue payment. E-commerce companies, subscription services, and businesses with recurring payments typically send these messages to ensure timely processing and reduce late fees.
They’re usually short, polite, and direct, providing all the necessary details like the amount due and the due date. This makes it easy for your customers to pay without any hassle.
Payment reminder messages are most effective when timed just right. The key is to strike a balance between being helpful and not overwhelming your customers.
When to send SMS billing reminders
Timing is crucial when it comes to sending SMS billing reminders. You want to ensure you're giving your customers enough time to make the payment without overwhelming them.
Here’s a simple way to decide the perfect time for sending your reminders:
After the due date
Send a polite reminder immediately after the payment due date to prompt customers to complete their transactions. Include all the necessary details, such as the amount due, invoice reference, and a payment link for easy processing.
One week after the initial payment reminder message
If the payment is still pending, send a follow-up payment reminder message one week later. Include a direct payment link to make the process easier.
Two weeks after the initial payment reminder message
If the payment remains unpaid after two weeks, send a firm but still professional final reminder emphasizing urgency. Mention any late fees, account suspension risks, or potential service interruptions to encourage prompt payment.

To help ensure your SMS billing reminders are as effective as possible, it’s not just about when you send them but how you create them.
The content and tone of your payment reminder messages will ultimately determine whether or not your customer takes action.
5 tips to write effective SMS billing reminders
Creating the perfect SMS reminder is about being clear, timely, and easy to act on. Here are five quick tips to make your reminders more effective:
1. Personalize your payment reminders
Use the customer’s name or account details to make the message feel more personal. If possible, refer to past interactions or payment history.
Personalized messages are not only more likely to be read, but 31% of consumers sign up for SMS to receive personalized messages, making them more likely to act.
Example: “Hi [Name], your $50 payment for [Service/Product] is overdue. Settle it today to avoid late fees: [link].”
2. Choose the right time
Timing plays a crucial role in getting a quick response. Send SMS reminders when customers are most likely to engage, such as mid-afternoon or early evening.
Be mindful of regulations, like the Telephone Consumer Protection Act (TCPA) in the US, which restricts messages before 8 AM or after 9 PM in the recipient’s time zone.
The best window is typically between 10 AM and 8 PM, but testing different times will help you find what works best for your audience.
3. Provide key payment details
Be clear and specific about the payment details. Include the exact amount due, the due date, and any other relevant details (e.g., order number) to make it easy for the customer to act on the reminder.
Example: “Reminder: Your $75 invoice for [Product/Service] was due on [Date]. Pay now to avoid a $10 late fee: [link].”
4. Include a clear call-to-action
Always end your SMS billing reminder with a clear CTA. Whether it’s a payment link, instructions to resolve the issue, or a contact number for support, make it easy for the customer to take the next step.
Use direct and action-oriented language like “Pay Now,” “Settle Your Balance,” or “Avoid Late Fees.”
Example: "Your payment of [Amount] is due. To avoid late fees and service disruption, please pay now by clicking the link: [Payment Link].”

5. Maintain a respectful tone
Avoid harsh language that might frustrate customers. Maintain a polite, professional tone in every reminder, even if the payment is overdue. Customers are more likely to respond to friendly reminders.
Example: “We understand things get busy. If you need help with your payment, reach out to us at [support info].”
The next step is creating clear, engaging messages that encourage prompt action.
Top 7 ready-to-use SMS payment reminder templates
Below are seven professional SMS payment reminder templates for different scenarios. You can customize them based on your business needs.
1. SMS payment reminder template: Before the due date
📅 When to send: 3-5 days before the due date.
Purpose: A soft and friendly reminder to keep the customer informed and prevent late payments.
Some customers forget about their upcoming payments. Sending a courteous and professional reminder ensures they are aware before the due date arrives. This message is especially useful for businesses with recurring invoices, service fees, or product payments.
Hi [Customer Name], just a reminder that your payment of [Amount] is due on [Due Date]. Let us know if you need any help. Thanks for choosing [Company Name]!
2. SMS payment reminder template: Follow-up on due date
📅 When to send: On the due date.
Purpose: A professional and polite reminder to encourage payment before it becomes overdue.
This message is for customers needing a gentle nudge on the due date. Some people wait until the last moment to pay, so this reminder ensures they don’t miss the deadline.
Hello [Customer Name], your payment of [Amount] is due today. Please visit [Payment Link] to make your payment. Feel free to contact us for assistance.
3. SMS payment reminder template: Overdue payment reminder (3 days after due date)
📅 When to send: 1-5 days after the due date.
Purpose: A reminder for customers who may have forgotten or overlooked the due date.
At this stage, customers have already missed their due date, but they may not realize it. This message remains polite and professional while creating urgency. If your business has late fees, this is a good time to mention them.
Hi [Customer Name], we noticed your payment of [Amount] was due on [Due Date] but hasn’t been received. Please make the payment at your earliest convenience here: [Payment Link].
4. SMS payment reminder template: Final notice of overdue payment
📅 When to send: 7-14 days after the due date.
Purpose: A firm but professional warning before escalating the issue (e.g., additional fees, service suspension, collections).
If a customer has ignored previous reminders, it’s time to increase urgency. This message serves as the final warning before taking further action. Use a direct and serious tone while maintaining professionalism.
Dear [Name], we’ve made several attempts to contact you about your outstanding payment of $[Amount], which was due on [Due Date]. If we don’t receive your payment by [Last Due Date], we may have to suspend [Services] and take further action. Please make the payment promptly: [Payment Link].
5. SMS payment reminder template: Subscription renewal reminder
Customers often overlook subscription renewals. A timely reminder helps them renew on time, reducing churn.
📅 When to send: 5-7 days before subscription renewal.
Purpose: Notify customers about upcoming subscription renewals to avoid surprises.For subscription-based businesses, sending a reminder before automatic billing helps reduce disputes and chargebacks. This message reassures customers about their renewal date and provides an option to update payment details.
Hi [Customer Name], your subscription to [Service Name] is about to renew on [Date]. Please ensure your payment of [Amount] is processed before [Due Date]. [Payment Link]
6. SMS payment reminder template: Installment payment reminder
📅 When to send: A few days before an installment payment is due.
Purpose: Helps customers keep track of their scheduled payments.
For subscription-based businesses, missed renewals can lead to churn and lost revenue. Sending a timely reminder ensures customers stay informed and take action before their subscription expires, preventing service disruptions.
[Business Name]: Hello [Customer Name], this is a reminder that your next installment payment of [Amount] for [Loan/Product Name] is due on [Due Date]. Please ensure timely payment to keep your plan active. [Payment Link]
7. SMS payment acknowledgment template: Thank you message after payment
📅 When to send: Immediately after payment is received.
Purpose: A courteous message to acknowledge receipt of payment and build customer trust.
Sending a thank-you message after payment reassures customers that their transaction was successful. It also reinforces positive customer relationships and professionalism.
Thank you, [Name]! We’ve received your payment of $[Amount] for [Product/Service]. Your order/subscription is now confirmed. Need a receipt? Access it here: [Link].
Ensuring timely payments doesn’t have to be a manual, time-consuming task. The right tools can help automate reminders, personalize messages, and improve collection rates effortlessly.
Plivo CX, a leading omnichannel customer engagement platform, simplifies SMS billing reminders with automated scheduling, personalized messaging, and real-time tracking. With intelligent segmentation and AI-driven insights, you can reduce late payments and improve customer retention effortlessly.
Enhance ROI on payment reminder messages with Plivo CX
Keeping track of payments and chasing late payments can be frustrating, especially when manual follow-ups don’t give the expected results. Delays can disrupt cash flow and impact business operations. ‘
With Plivo CX, you can automate SMS payment reminders to reach customers instantly. From gentle pre-due reminders to urgent overdue notices, you can ensure timely payments while reducing manual follow-ups. Stay proactive, minimize delays, and keep your revenue stream steady.
Here’s why Plivo CX is the go-to platform for payment reminders:
- Flexible customer segmentation: Group customers based on payment history or subscription status for relevant reminders.
- Connect with customers at the right moments: With Journeys, marketers can send triggered messages based on customer actions to ensure relevant communication. Plus, a no-code interface allows marketers to build and manage these automated interactions without developer assistance easily.
- Craft engaging alerts with Copywriter AI: Generate personalized SMS alerts with AI-powered suggestions and pre-designed templates. Copywriter AI instantly crafts message options, allowing you to review, refine, and send the perfect alert.

- Seamless customer notifications: Automate payment reminders based on due dates, customer behavior, or custom triggers to ensure timely follow-ups.
- Timely engagement: Schedule SMS reminders to send before, on, or after the due date at optimal times across time zones.

- E-commerce integrations: Integrates with e-commerce stores like Shopify, BigCommerce, WooCommerce, Magento, and other platforms to send reminders directly from your e-commerce system.
Businesses using Plivo CX for payment reminders see an average of $71 generated for every $1 spent, along with a 20% increase in on-time payments and subscription reminders.
With Plivo’s advanced carrier network spanning 220+ countries, Plivo CX also helps businesses cut SMS marketing costs by up to 70% while tripling their ROI.
Reduce payment delays, improve cash flow, and keep your customers engaged—all with automated SMS reminders powered by Plivo CX.

What are SMS Alerts & How Can You Use them in Your Business?
Increase customer engagement and revenue with SMS alerts. Send timely updates on orders, restocks, and renewals. Start using Plivo CX today for better results!
Delivering timely updates to customers is crucial in e-commerce, yet many businesses struggle with low engagement on traditional channels like email and push notifications. Delayed communications can lead to abandoned carts, lost sales, and customer frustration.
This is where SMS alerts offer a competitive edge. Unlike other channels, SMS delivers instant, high-visibility messages—whether it’s an order update, a restock notification, or a personalized offer.
With a high open rate and response times averaging just 90 seconds, SMS ensures that critical information reaches customers when it matters most.
By leveraging SMS alerts effectively, businesses can create amazing shopping experiences, drive higher conversions, and build stronger customer relationships. Let’s explore how.
The definition and value of SMS alerts
SMS alerts are instant text messages sent to users to notify them about important updates, reminders, or urgent information. They’re widely used by businesses, service providers, and organizations to keep customers informed in real-time.
Businesses use SMS alerts for a variety of reasons, such as:
✅ Order confirmations and shipping updates
✅ Appointment reminders
✅ Security alerts (like login verifications)
✅ Promotional offers and flash sales
✅ Emergency notifications
Why do SMS alerts matter for businesses?
Quiq.com reports that 58% of businesses find SMS more cost-effective than voice-only communication, while there is a 75% reduction in phone calls through SMS implementation. SMS alerts enhance customer experience, drive sales, reduce costs, and improve operational efficiency. Here’s how:
- Instant & reliable – Deliver time-sensitive messages directly to customers.
- Increased conversions – Timely promotions and reminders lead to more completed purchases.
- Cost-effective & scalable – Automate outreach without spending heavily on ads.
- Stronger customer relationships – Keep customers informed and engaged, building long-term loyalty.
- Enhanced security – Used for OTPs, fraud alerts, and verification.
Effective customer communication is key, and SMS alerts provide a direct and reliable way to engage your audience.
Now, let’s compare SMS alerts with push notifications and understand how they each serve different purposes.
SMS alerts vs. push notifications – What’s the difference?
Both SMS alerts and push notifications keep users informed, but they work differently. Here’s how:
Bottom line? SMS alerts are direct and reliable, while push notifications are app-dependent and best for marketing engagement. Let’s explore some real-world examples to understand how these alerts work.
Examples of SMS alerts
SMS alerts are used across various industries to provide real-time, important updates. Here are some common examples of SMS alerts:
1. Order notifications
Reduce WISMO (Where Is My Order) queries by keeping customers informed in real time.

2. Abandoned cart notifications
Recover lost sales by reminding customers about their abandoned carts. A timely message can prompt them to return and complete their purchase, increasing conversion rates.

3. Delivery notifications
Enhance customer satisfaction with real-time delivery updates. Keeping customers informed about their order's progress—whether it's shipped, out for delivery, or arrived—reduces anxiety and builds trust.

4. Flash sale alerts
Create a sense of urgency with flash sale alerts to drive immediate action. Time-sensitive offers encourage customers to act fast, boosting conversions and making the most of limited-time promotions.

5. Restock alerts
Re-engage customers by notifying them when popular or out-of-stock items are available again. Restock alerts help capture the interest of those who missed out previously, driving them back to your store to make a purchase.

6. Payment reminders
Minimize failed payments by sending timely reminders to customers about upcoming payments or expiring subscriptions. These alerts help ensure customers take action before payments are missed.

How do SMS alerts work?
SMS alerts are a simple way to communicate with customers. Here’s how they work:
Step 1: Customer opt-in: Customers opt in through a simple action, like texting a keyword or submitting their phone number online. This ensures compliance and respects customer preferences.
Step 2: Message creation: Businesses can now send personalized or automated SMS alerts based on triggers
Step 3: Message delivery: The SMS goes through an SMS gateway and reaches the customer’s phone directly.
To make sure your SMS alerts are compliant with the law, it’s essential to understand the regulations involved. Here's what you need to know.
- Opt-in requirement: Customers must provide clear consent before receiving messages. This is usually done by confirming their phone number or texting a keyword (e.g., “JOIN”).
- Unsubscribe option: Every SMS alert must include an opt-out option, allowing customers to easily stop receiving messages by texting “STOP.”
- Privacy compliance: Businesses must ensure they handle customer data securely and comply with privacy laws like GDPR or TCPA.
By following these steps and regulations, businesses can use SMS alerts to communicate with customers while maintaining trust and legal compliance effectively.
Benefits of using SMS alerts in e-commerce
SMS alerts drive engagement for e-commerce businesses, improving customer satisfaction and boosting sales. Let’s explore some of the key benefits:
Improved customer engagement
Instant updates keep customers informed, preventing frustration and the need to reach out for support. For example, sending real-time order tracking updates ensures customers are always in the loop and engaged.

Increased conversions
By sending targeted cart abandonment reminders or exclusive offers at the right time, businesses can recover lost sales. This timely communication encourages customers to take immediate action, increasing the chances of completing the purchase.
In fact, cart abandonment messages via SMS have been shown to recover 30% of abandoned carts.

Enhanced customer satisfaction
70% of consumers expect businesses to provide updates on orders, deliveries, and appointments via SMS. Personalized messages build trust and increase satisfaction.

Reduced operational costs
By automating routine messages such as order confirmations, shipping updates, and payment reminders, businesses can save time and reduce the need for customer service involvement.
With SMS messages costing as little as $0.015-$0.050 per message, businesses can achieve significant cost savings while maintaining effective communication.
Improved retention and loyalty
By consistently updating customers with timely information, businesses build trust and increase customer loyalty. Small gestures like "thank you" messages, delivery updates, or exclusive deals encourage repeat purchases.

Now, let’s explore some practical examples of how SMS alerts are being used to make a real difference in the e-commerce world.
Use cases of SMS alerts in e-commerce
SMS alerts are incredibly versatile and can be used across various touchpoints in the customer journey. Here are some top use cases in e-commerce:
1. Promotional alerts
Delivering time-sensitive promotions directly to your customers’ phones ensures your message is seen and acted upon quickly. Whether it's a flash sale, seasonal discount, or exclusive offer, SMS makes sure your promotion reaches your audience in time.

2. Abandoned cart reminders
Cart abandonment is a major hurdle in e-commerce, but a simple text message notification helps recover lost sales. Gently nudging customers who’ve left items behind increases the likelihood of them completing their purchase.

3. Order updates
Keep customers informed at every stage of their order journey. Real-time shipping confirmations and delivery updates provide transparency and improve customer satisfaction.

These updates enhance customer satisfaction by providing transparency and reducing customer support inquiries.
4. Customer support
Text message notifications provide instant communication to address concerns, from resolving order issues to answering questions or handling complaints. This real-time communication helps build trust and ensures a quicker resolution to customer concerns.

5. Subscription reminders
Use SMS to remind customers about subscription renewals or expiring memberships, ensuring they don’t miss out on continuing their service.

These timely reminders help increase subscription renewal rates and reduce churn.
Plivo CX, an omnichannel customer engagement platform, makes it easy to send personalized SMS alerts, track performance, and keep your audience connected every step of the way.
With intelligent segmentation and AI-powered messaging, businesses can optimize customer communication effortlessly.
Simplify customer engagement with SMS alerts powered by Plivo CX
Many businesses struggle with sending restock updates, subscription renewal reminders, and replenishment alerts, especially for frequently ordered items like supplements and personal care products. These delays can lead to missed opportunities and decreased customer satisfaction.
With Plivo CX, it’s easy to keep customers in the loop. Whether it’s updating them on product availability, reminding them about upcoming renewals, or letting them know when it’s time to restock, you can keep them satisfied with minimal effort.

Here’s why you should choose Plivo CX for SMS alerts:
- Seamless customer notifications: Automate alerts for restocks, renewals, and replenishments. Use manual/automated segmentation and behavioral triggers to send timely, relevant updates.
- Flexible customer segmentation: Use manual segmentation to group audience based on purchase behavior and product interest, ensuring your messages are highly relevant and drive engagement.
- Timely engagement: Send instant, delayed, or event-based alerts. Schedule messages at optimal times across time zones.

- Flexible campaign setup: Set up customized, event-driven SMS campaigns with pre-built templates and AI-powered message personalization.
- Craft engaging alerts: Use AI-driven suggestions and pre-designed templates to create personalized messages. Create using Copywriter AI and deliver them instantly to reach customers on time.

- E-commerce integration: Plivo CX seamlessly integrates with e-commerce stores like Shopify, BigCommerce, WooCommerce, Magento, and more, allowing businesses to send alerts directly from their e-commerce platforms.
Businesses leveraging SMS marketing with Plivo CX see an average of $71 generated for every $1 spent, along with 20% conversion rates from both back-in-stock alerts and subscription reminders.
Powered by Plivo’s premium carrier network with coverage in 220+ countries, Plivo CX also helps businesses cut SMS marketing costs by up to 70% while tripling ROI.
Book a free demo and see how Plivo CX can help you deliver timely, automated alerts that drive customer engagement and sales!
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