PipelineNDA

AI lead qualification, listing match and broker routing

Asks every new enquiry about budget, area and timing, matches it to live listings, and hands buyers who are ready to the right broker.

pradeep.build / build reportReal estate · Pipeline

What it does

A lead pipeline for a property agency. Enquiries from portals, ads and WhatsApp get an instant reply that asks about budget, preferred areas, home type and when they want to move. The answers are matched against live listings, each lead is marked hot, warm or nurture, and hot leads go to the broker who covers that area. Everyone else gets useful follow-ups until they are ready.

The problem

Brokers spent most of their day calling leads who were only browsing, while serious buyers waited hours for a reply and called another agency.

Approach

An AI conversation asks the questions a good broker would, in the buyer's own words, and fills a lead card. Rules score the lead and match listings by budget and area. Routing looks at area, language and each broker's current load. Leads that aren't ready get new matching listings and check-ins, and come back to the top the moment they say they're ready.

  • Input
  • AI step
  • Rules or code
  • Person decides
How it flows

Screens

Swipe sideways to see the whole screen.

Client work is shown under confidentiality agreements: no client names, and screens are recreated with sample data.

Stack

  • WhatsApp and web chat
  • Gemini API
  • CRM pipeline
  • Listing feed

Impact

10 to 15 hrsa week back for each broker from leads that weren't ready
~50%of enquiries filtered to nurture before a broker spends time on them

Typical for systems like this.

Next buildListing to portal copy, posts and brochure Product · Real estate
Pradeep Loganathan

What should we build next?

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