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AI Automations · Operational Solutions · Real Estate · India · Web

Data-backed property buying decisions

LMTree flips property, where the margin is in the buying decision. That decision was being made by hand, and slowly.

3 hr → 5 mindecision time
01 / THE PROBLEM

In competitive property flipping, the margin is in the buying decision, and it was made slowly.

Reviewing historical data, comparing similar properties, checking furnished against unfurnished pricing, estimating renovation upside and calculating a maximum bid, all by hand.

02 / WHAT WE BUILT

A decision engine that matches a property against the most similar ones in the same area and analyses historical and current listings.

It identifies comparable furnished prices, calculates a recommended maximum buying price and returns a clear buy or no-buy call.

03 / THE OUTCOME

A three-hour decision, made in five minutes.

3 hr5 min

Time to a buy or no-buy decision.

83%less

Manual research effort per property.

Faster bidding in competitive markets.

Higher deal conversion.

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