AI-powered chatbots are designed to mimic human-like conversations with customers and users. These customer service chatbots can answer common customer questions, handle support requests like data updates, billing disputes, service bookings, payment reminders, outage handling, and much more.

Modern AI customer service chatbot solutions are almost always able to handle complex customer queries and can provide solutions that are personalised to the customer often in a language of their preference with full context of the customer’s history with the company. By leveraging conversational AI and natural language processing, these intelligent systems understand customer intent and deliver consistent support across multiple channels.

In this article, we explore some of the best customer service chatbots currently in the market and identify who these are ideal for.

What Are the Benefits of Using Chatbots?

There are numerous benefits to using chatbots, especially AI-powered chatbots for customer service. Some of the major benefits include:

1. 24/7 Availability

Most companies struggle to provide round-the-clock services, as they would need to incorporate multiple batches of live support agents working in different shifts. With an AI chatbot, this becomes easy and efficient, ensuring customers receive instant answers at any time.

Modern customer service chatbots powered with Agentic AI can handle 80% of all types of customer inquiries, including complex requests and multi-step queries, thus freeing up human agents to focus on complex issues that require human support.

2. Automating Routine Tasks

Customer service teams often face burnout due to performing repetitive tasks and handling routine inquiries. With AI-powered chatbots, these tasks can be automated through automated workflows, enabling the support team to invest in more complex queries and improve customer service quality.

An AI customer service chatbot can resolve common customer queries automatically, provide instant support, and reduce support volume significantly lowering operational costs while improving customer satisfaction.

3. Multilingual Customer Support

76% of customers want service in the language of their choice. With multilingual support, enterprises don’t need to hire agents for specific languages, as these AI agents can handle customer interactions themselves, delivering global support across multiple platforms.

4. Hyper-Personalised Responses

71% of consumers today expect hyper-personalised responses, meaning support curated for the individual customer. With Agentic AI chatbots, this becomes possible by leveraging customer data and understanding customer behavior to deliver accurate responses tailored to each customer interaction.

Use Cases of Chatbots

AI-powered chatbots find extensive use in customer experience automation for enterprises. These customer service chatbots can help service teams with:

1. ‍Handling FAQs – Including pricing, policies, product information, and account details drawn from a comprehensive knowledge base‍
2. Order Management – Tracking shipments, confirming orders, processing exchanges/returns, and managing deliveries while handling customer inquiries efficiently‍
3. Scheduling – Booking appointments, service bookings, demo bookings, and sending reminders through automated workflows‍
4. Sales Support – Lead qualification, capturing customer details of potential customers, recommending products, and offering discounts to improve customer satisfaction

What Are the Leading Chatbot Companies for Customer Support in India?

Rezo AI

Rezo AI is a unified CX automation platform that helps enterprises deliver human-like responses and customer support across voice, chat, and digital channels, while reducing operational effort. As a leading AI customer service chatbot provider, it combines intelligent self-service options, agent assistance, and analytics so brands can move from reactive support to proactive support and customer experience management.

Rezo provides multilingual support across Indian and global languages and an omnichannel experience that connects phone, WhatsApp, web chat, and email with full context continuity across multiple channels. Its hyper-personalised experiences are powered by customer data and real-time context, while its intelligent AI agent solutions context-aware conversational AI bots handle multi-step workflows and know when to involve human agents.

For support teams, Rezo offers real-time agent assist with suggested responses and knowledge base snippets during live customer conversations, helping to optimize agent performance. Their 24/7 customer service chatbots resolve routine inquiries instantly, even outside business hours, to deliver consistent support and improved customer satisfaction.

HubSpot

HubSpot’s customer service chatbot platform combines an AI-powered help desk, live chat, and a native chatbot (Breeze Customer Agent) tightly integrated with its CRM. The key advantage is that every AI chatbot interaction is automatically linked to customer records, enabling personalised support, automation rules, and unified reporting using customer data in one system.

HubSpot is a strong fit for growing businesses that already use HubSpot for sales/marketing and want a built-in customer support chatbot to handle simple to moderate support requests across multiple channels.

Tidio

Tidio is a customer service chatbot platform that brings live chat, AI chatbots, and ticketing into a single workspace for ecommerce and online businesses. Its standout feature is Lyro, an AI agent that uses natural language processing and machine learning to understand customer questions, automate FAQs, and work alongside rule-based chatbots and proactive messages to support customer interactions in real time.

Tidio is ideal for small to mid-sized online stores that want to boost conversions and response speed with plug-and-play customer service chatbots integrated into their existing tech stack, providing instant responses to customer inquiries.

Wonderchat

Wonderchat is a no-code AI chatbot builder that lets businesses create custom GPT-based support agents by training them on website content and documents from their knowledge base. It emphasises fast setup, multilingual support, and built-in analytics so service teams can track resolution rates, surface knowledge gaps, and automate complex workflows without technical skills.

Using large language models, Wonderchat is well-suited for product and content-heavy businesses that want to deploy a website customer support chatbot quickly and continuously refine it using conversation insights and customer feedback.

Gupshup AI

Gupshup offers AI agents for customer support across messaging apps, web chat, and voice, with strong coverage for messaging channels like WhatsApp, Instagram, Facebook Messenger, and SMS. Its conversational AI platform focuses on customer support operations at scale, enabling 24/7 assistance, multilingual experiences in 100+ languages, and smooth escalation to human support with full conversation history.

Gupshup is a strong option for consumer brands and enterprises that prioritise conversational customer interaction on popular messaging apps and want to reduce support volume with AI support across multiple platforms including mobile apps.

Botpress

Botpress is a developer-friendly platform for building advanced AI customer service chatbot solutions with visual flow design and deep customisation. It provides drag-and-drop tooling, conversation analytics, and integrations that help automate complex issues and offload high volumes of routine inquiries from agents.

Powered by machine learning and conversational AI, Botpress is best for teams with technical skills that need granular control over chatbot behavior and want to embed sophisticated automation into their existing customer support operations, helping to optimize agent performance.

DigiLawyer

DigiLawyer is an AI-powered legal chatbot designed to make legal information and assistance more accessible and affordable. This specialised AI chatbot provides 24/7 instant answers to legal queries, drafts basic documents, and pulls up-to-date legal information from online sources while keeping customer conversations private and, if desired, anonymous.

DigiLawyer primarily serves individuals and businesses in need of quick, on-demand legal guidance and education, rather than general-purpose customer support.

How to Choose the Best Customer Service Chatbot for Your Company?

To choose the best customer service chatbots for your company, you need to first set clear goals on what you aim to achieve and select the crucial features you would need, like multichannel orchestration, agent assistance, and the ability to handle customer inquiries across multiple channels.

1. Define Goals

Be clear on what you want to achieve with customer service chatbots. Do you want to reduce cost of human agents, increase lead generation, improve customer satisfaction, automate complex workflows, or streamline internal processes? Understanding these goals helps identify the right AI customer service chatbot for your needs.

2. Target Audience

Check if your target audience is compatible with AI support. Identify common customer queries, preferred channels, and what languages they prefer. For example, if your audience is distributed across multiple channels, an omnichannel customer support chatbot will help you deliver consistent support and handle customer interactions effectively.

3. Key Features

Based on your goals and audience, define the key features your AI chatbot must have:

• ‍Multilingual support for audiences from diverse backgrounds
• Omnichannel experience for customer interaction across multiple channels including messaging apps, mobile apps, and Facebook Messenger‍
• Hyper-personalised experience using customer data to improve customer experience‍
• Machine learning capabilities to learn over time and provide more accurate responses‍
• Autonomous operation to handle complex requests without human support‍
• Easy integration with existing CRMs to access customer details and customer data‍
• Proactive support capabilities to anticipate customer issues

4. Implementation and Usage

Implementation is an integral part of adopting customer service chatbots. Consider the technical abilities of your support team, prioritise user-friendly interfaces that people without technical skills can also use, look for AI agents that contribute to scaling, and ensure the platform provides analytics to track agent performance and customer satisfaction.

5. Costing

Lastly, check the pricing and ROI on the customer service chatbots. Evaluate potential returns from lowering operational costs, increased sales, and improved customer satisfaction through consistent and accurate responses.

Conclusion: Customer Service Chatbots for Companies

Selecting the best customer service chatbots for customer support depends on your specific goals, customer journey, and internal capabilities rather than any single “winner.” The platforms covered here all help service teams automate routine inquiries, provide instant answers, offer 24/7 assistance, and speed up responses, but they differ in depth of conversational AI, ease of setup, and channel focus.

A practical approach is to start by clarifying what matters most for your organisation: required channels, expected volumes, multilingual needs, level of personalisation, and how tightly the AI customer service chatbot should integrate with your existing tech stack. From there, you can shortlist vendors that align with those priorities, run limited pilots, and compare impact on KPIs such as first-response time, resolution rate, customer satisfaction (CSAT), and agent performance.

Ultimately, the “right” customer support chatbot is the one that fits your context, scales with your growth, and balances automation with a smooth handoff to human agents when needed. By treating chatbot selection as a strategic customer experience decision rather than just a technology purchase, businesses can build support experiences that deliver consistent support, accurate responses, and more customer-centric interactions over time.

Frequently Asked Questions

How do you train customer service chatbots?

To train an AI customer service chatbot, you need to provide it with all relevant customer data, including customer profiles, product details, pricing, policies, FAQs, and knowledge base content. This helps the AI agent understand your offerings clearly and provide instant, accurate responses that address customer inquiries effectively. Modern conversational AI platforms use machine learning to continuously improve responses based on customer feedback and customer interactions.

How do you use AI to automate customer service?

AI chatbots and customer service chatbots are used to provide instant support, solve complex queries, assist customer support teams, and overall improve customer service. These AI-powered solutions handle customer questions automatically, reduce support requests on human agents, and ensure consistent support across multiple channels ultimately leading to improved customer satisfaction and better customer experience.