What is Chatbot?
A chatbot is an automated conversational agent that handles customer queries through text-based interactions, using either pre-programmed responses or AI to simulate human conversation.
Chatbot Explained
A chatbot is an automated conversational agent that handles customer queries and interactions through text-based messaging, using either rule-based responses or artificial intelligence to simulate human conversation. For Indian businesses, chatbots serve as the first line of customer interaction, handling common queries, qualifying leads, and guiding customers through initial conversations before human intervention is needed.
In the Indian market, chatbots are particularly valuable for service-based businesses managing high volumes of inquiries on platforms like WhatsApp. They can instantly respond to customer questions about pricing, availability, and services, ensuring no lead goes unattended even outside business hours. Studies show that businesses using chatbots see up to 67% faster response times and can handle 3x more inquiries simultaneously.
Examples
A dental clinic in Mumbai uses a chatbot on their website to instantly capture visitors asking about appointment availability. When someone types 'Do you have slots tomorrow?', the bot responds immediately with available times and moves the conversation to WhatsApp for booking confirmation.
A fitness studio in Bangalore deploys a chatbot that qualifies new members by asking about fitness goals, preferred timings, and budget range. The bot automatically categorizes leads as 'Hot' (ready to join), 'Warm' (needs nurturing), or 'Cold' (price-sensitive) before passing them to human sales staff.
A wedding planning company in Delhi uses a chatbot to handle initial inquiries about packages. When couples ask 'What's included in your ₹2 lakh package?', the bot provides detailed breakdowns and collects contact information for follow-up calls.
How It Works
A chatbot operates through a conversation flow system where customer messages trigger automated responses. Rule-based chatbots follow predetermined decision trees - if a customer types specific keywords like 'price' or 'booking', the bot provides pre-written responses. AI-powered chatbots use natural language processing to understand message intent and generate contextual responses.
The process starts when a customer sends a message. The chatbot analyzes the text, matches it against its knowledge base, and sends an appropriate response. Advanced chatbots can ask qualifying questions, collect customer information, schedule callbacks, and automatically route qualified leads to human sales representatives when needed.
Best Practices
- Set clear expectations about response capabilities
Tell customers upfront they're chatting with a bot and when human agents will take over. This builds trust and reduces frustration when complex queries arise.
- Design qualification flows that mirror sales conversations
Create chatbot questions that naturally lead to qualifying information like budget, timeline, and specific needs rather than generic FAQ responses.
- Include seamless handoff triggers to human agents
Program specific keywords or scenarios that automatically transfer conversations to sales staff, ensuring hot leads don't get stuck in automation loops.
- Use rich media responses for better engagement
Include images, videos, and document attachments in chatbot responses to showcase services and maintain visual appeal in conversations.
Common Mistakes to Avoid
- Making chatbots too complex with endless menu options
Fix: Keep conversation flows simple with maximum 3-4 options per interaction. Focus on the most common customer queries first.
- Never updating chatbot responses or conversation flows
Fix: Regularly review chatbot conversations and update responses based on actual customer questions and feedback patterns.
- Using chatbots for sales pressure instead of qualification
Fix: Program chatbots to gather information and interest level, then hand over to humans for actual selling conversations.
How Kraya Handles Chatbot
Kraya's AI Qualification Agent functions as an intelligent chatbot that responds instantly to WhatsApp inquiries, qualifies leads with contextual questions, and automatically moves qualified prospects through pipeline stages. Unlike basic chatbots, Kraya's system sends intelligent bump-up messages when leads go silent and seamlessly integrates with follow-up sequences.
The AI agent works directly within WhatsApp conversations, maintaining context throughout the customer journey. When leads respond, the system automatically stops sequences and alerts sales teams. This chatbot-to-human handoff ensures no qualified lead falls through cracks while maintaining the personal touch Indian customers expect.
See how Kraya puts chatbot into practice
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Written by Abhyank Srinet
Founder & CEO, Kraya AI · ESCP Europe alumnus · Bootstrapped 3 companies · LinkedIn
Related Terms
WhatsApp Business API
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Interactive Messages
Interactive Messages are WhatsApp messages with clickable elements like buttons and lists that let customers respond by tapping options instead of typing, increasing engagement by 40%+ over plain text messages.
WhatsApp Flows
WhatsApp Flows are interactive, multi-step forms built within WhatsApp that let businesses collect customer information like bookings, surveys, and registrations without redirecting users to external websites.