AI Chatbot Solution for Major Real Estate Company
An omnichannel AI chatbot for Bren, a major Indian real estate developer, that increased qualified leads by 35%, cut missed enquiries by 50% and brought response times under 30 seconds.
- Client:
- Bren
- Industry:
- Real Estate & Property Development
- Tech stack:
- Node.js, Python, Dialogflow +5 more
- Updated:
- More qualified leads
- 35%
- Fewer missed enquiries
- 50%
- Average response time
- <30s
- Website, WhatsApp and social
- 24/7
Case study summary
Perimattic built an omnichannel AI chatbot for Bren, a major real estate developer in India with premium residential and commercial projects. It answers property, pricing and availability questions in English and regional languages across Bren's website, WhatsApp and social channels, scores and routes leads into Salesforce CRM, and schedules virtual tours. Qualified lead capture rose 35%, missed enquiries fell 50%, and average response time dropped from hours to under 30 seconds.
About Bren
Bren (bren.com) is a major real estate builder in India, delivering premium residential and commercial projects. It wanted to modernise customer engagement and lead management with AI: an intelligent chatbot that could streamline engagement, automate lead capture and provide 24/7 support across multiple channels.
The challenge: thousands of daily enquiries
Customer query overload
Thousands of daily enquiries about projects, pricing and availability strained support teams.
Manual sales process
Sales agents spent time answering repetitive FAQs instead of driving conversions.
Lead management gaps
Bren needed automated lead qualification and integration with its existing CRM.
How Perimattic built Bren's AI chatbot
Perimattic analysed how Bren handled leads and enquiries, then built a conversational AI agent connected to its CRM and deployed it on every channel its customers already use.
Chatbot design and development
- Created conversation flows for property queries, bookings and pricing
- Integrated multilingual NLP models for English and regional languages
- Designed a chatbot persona that reflects Bren's brand voice
- Built fallback mechanisms for complex queries and requirements
CRM and sales integration
- Connected the chatbot to Salesforce CRM for lead tracking
- Automated lead scoring and assignment to sales reps
- Enabled virtual tour scheduling and project brochure downloads
- Synced real-time property availability with backend systems
Omnichannel deployment
- Deployed the chatbot on Bren's website, WhatsApp and social channels
- Used the WhatsApp Business API for seamless customer engagement
- Integrated push notifications for booking confirmations
- Kept the experience consistent across all platforms
Results: 35% more qualified leads and replies in under 30 seconds
Improved lead conversion
Instant, intelligent responses increased qualified lead capture by 35%.
24/7 customer engagement
Round-the-clock support on the website, WhatsApp and social platforms cut missed enquiries by 50%.
Faster responses
Automated FAQs and property recommendations cut average response time from hours to under 30 seconds.
Seamless CRM integration
Direct Salesforce integration means every captured lead is tracked, prioritised and followed up.
Better user experience
Personalised property suggestions based on customer intent improved engagement and reduced bounce rates.
Services behind this project
Technologies behind the real estate chatbot
The languages, frameworks, platforms and integrations used to deliver this project.
- Node.js
- Python
- Dialogflow
- React.js
- Salesforce CRM
- Google Cloud AI
- WhatsApp Business API
- REST APIs
Questions about this project
What can Bren's real estate chatbot do?
It answers questions about projects, pricing and availability, recommends properties based on customer intent, schedules virtual tours, shares project brochures, scores leads and assigns them to sales reps in Salesforce, and hands complex queries off through fallback flows.
Which channels and languages does it support?
It runs 24/7 on Bren's website, WhatsApp (through the WhatsApp Business API) and social channels, in English and regional languages.
How does the chatbot integrate with Salesforce?
Every conversation that produces a lead is written to Salesforce CRM, where it is automatically scored and assigned to the right sales rep, so leads are tracked, prioritised and followed up without manual entry.
How much does it cost to build a chatbot like this?
Cost depends mainly on the number of channels, languages and integrations such as CRM and inventory systems. Our chatbot development cost guide breaks down typical price ranges.
