Real Estate Lead Qualification Bot
LLM-Powered Pre-Screening, Lead Scoring & Auto-Booking
Project Overview
A real estate agency was drowning in website enquiries — around 90% were unqualified leads. Agents were spending 70% of their call time screening instead of selling. They needed an AI gatekeeper that could pre-qualify leads around the clock and automatically book consultations for the ones that mattered.
The Challenges
- 1
Conversation needed to feel natural — not like filling in a form
- 2
Budget and timeline extraction from vague, non-numeric user inputs
- 3
CRM integration with a legacy system that had limited API documentation
- 4
Avoiding false negatives that would filter out genuine buyers too early
Our Approach
We built a multi-turn LangChain agent backed by GPT-4 with a custom scoring rubric evaluating budget, timeline, location specificity, and intent clarity. Leads above a configurable threshold are pushed to the CRM with a full transcript and auto-booked via the Calendly API. Below-threshold leads enter a Mailchimp nurture sequence.
Key Features & Metrics
Multi-turn LLM conversation handles vague, natural language inputs gracefully
Lead scoring across 4 dimensions: budget, timeline, location, and intent clarity
Auto-books consultation slots via Calendly API for qualified leads
CRM push with full conversation transcript for every qualified lead
Below-threshold leads automatically enter an email nurture sequence
Monthly qualified lead volume tripled within 6 weeks of launch
Results & Business Outcome
Agent call time spent on screening dropped from 70% to 18%. Monthly qualified lead volume tripled. ROI was positive within the first 6 weeks of deployment.
The best sales tool is not the one that talks to the most people — it is the one that makes sure your team only talks to the right ones.
Let's Build Something Intelligent Together
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