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A Real Estate Brokerage firm in lucknow

I built a chatbot to answer common property inquiries and qualify leads outside business hours.

A project by · The Neural Guy

PythonLangChainNode.js
Concept visualization of the solution. Project details and outcomes below.

Start with the real problem.

A large share of inbound inquiries came in after business hours and went unanswered until the next morning, by which many leads were lost . It was a problem that looked small from the outside, but was quietly costing Real Estate Brokerage real time every single day.

A system built to fit.

I built a chatbot grounded in current listing data that answers common questions and qualifies leads immediately, handing off to an agent for anything it can't answer. The build prioritized something Real Estate Brokerage's team could actually run and maintain day to day, not just a one-off proof of concept.

  1. 01

    Spent the first stretch getting access to Real Estate Brokerage's data and systems — usually the slowest part of an engagement like this, and worth doing properly upfront.

  2. 02

    Built Real Estate Brokerage's core system in stages, validating each piece against real data before moving on to the next rather than building the whole thing end-to-end blind.

  3. 03

    Integration took longer than the model itself for Real Estate Brokerage, mostly around getting the output into a format their existing tools could use.

  4. 04

    Working with the Real Estate Brokerage firm to extend it so system works without needing ongoing support. To give the site Whats App automation feautre is under discussion

What changed.

  • Captured 34% more after-hours leads
  • Qualified leads before an agent ever picked up the phone
  • Handed off cleanly to a human for anything outside its scope
  • Delivered to Real Estate Brokerage within the agreed 5 weeks with no major scope changes along the way

Let’s find your solution.

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