Built an AI-powered customer support bot for a real estate business, deployed on Telegram and managed through respond.io. The bot handled inbound customer inquiries automatically, reducing response time and freeing up the client's team from repetitive support tasks.
The Problem
The client was receiving a high volume of repetitive customer questions — property availability, pricing inquiries, viewing schedules, and general FAQs. Their team was spending hours each day manually responding to messages that followed predictable patterns.
What I Built
I designed and deployed a conversational AI bot on Telegram that could:
Answer common real estate FAQs automatically
Qualify leads by collecting key information (budget, location preference, property type)
Route complex or high-intent conversations to a human agent via respond.io
Maintain conversation context across sessions using LangChain
Tech Stack
Dialogflow — natural language understanding and intent classification
LangChain — conversation memory and chaining AI responses
Telegram Bot API — the customer-facing messaging channel
respond.io — agent handoff, conversation management, and team inbox
Outcome
The bot handled the majority of inbound support queries automatically, with seamless handoff to human agents for high-priority leads. The client's support team shifted focus from answering repetitive questions to closing deals.
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Posted Jul 28, 2026
The Real Estate company were able to receie upto-to date feedback,leads generation and followups and more toward maximising sales and more projects