Case Study

AI Chatbot for Real Estate Agency — Automating Inquiries

How an intelligent chatbot trained on 500+ properties transformed client service and increased sales by 25%.

The Challenge

HomeFind is a real estate agency with 15 brokers and 500+ active listings in Sofia. They received 200+ inquiries daily across phone, email, Facebook, website, and WhatsApp. Three receptionists struggled to handle everything.

  • 60% of inquiries were repetitive questions about price, parking, and viewing times
  • 35% of inquiries came outside office hours and went unanswered until the next day
  • Average response time was 4 hours — by then clients had already contacted competitors
  • Lead qualification was chaotic — brokers received leads without budget or requirement info
  • Brokers spent 40% of their time on admin tasks instead of viewings and deals

The owner wanted a solution that felt "human" and wouldn't damage the agency's reputation.

Our Solution

We developed an AI chatbot based on GPT-4 with RAG, trained on the entire property database and agency knowledge base.

Intelligent Knowledge Base

The bot had real-time access to 500+ properties. It could suggest relevant listings with prices, photos, and details, compare properties, and provide area price history. Updates synced instantly via webhook integration.

Automatic Lead Qualification

Through natural conversation, the bot gathered budget, preferred area, property type, purchase urgency, and credit approval status. It generated a lead score and routed to the right broker. Hot leads got instant callbacks.

Omnichannel Presence

The bot operated across 5 channels simultaneously — website, Facebook Messenger, Instagram DM, WhatsApp, and Viber. Conversations persisted across channels with 24/7 availability.

Technology Stack

AI: GPT-4, RAG, vector embeddings

Backend: C# .NET 8, PostgreSQL + pgvector

Channels: Meta API, WhatsApp, Viber

Widget: Custom React chat widget

Results

80%
inquiries resolved automatically
+25%
increase in sales
30 sec
avg response time (from 4h)

73% of users rated chat conversations as "helpful" or "very helpful." Complaints about "robot" interactions were under 3% — GPT-4 quality was high enough that most clients didn't realize they were talking to a bot.

"I was skeptical — I thought an AI chatbot would annoy our clients. I was totally wrong. The bot responds faster, more accurately, and more politely than most humans. Our sales jumped 25% because we no longer lose a single lead to slow response."

Boris Yordanov, Owner of HomeFind

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