AI case study

Housing.comReal estate analytics

Data silos blocked pricing accuracy. A unified lakehouse saved a week of manual work per ML model.

Published|2 years ago

Key results

Prospect-to-Lead Increase
5.5%
Fraud Rate Reduction
0.05%

Result highlights

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The story

Context

A digital real estate platform manages billions of data points across property listings, financial trends, and user interactions for buying, renting, and financing homes.

Challenge

Exponential growth in data touchpoints created silos that made accurate pricing predictions and demand forecasting impossible. Analysts struggled to...

Solution
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Scope & timeline

  • 1 week reduction in ML deployment time

Quotes

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The company

Housing.com logo

Housing.com

housing.com

Online marketplace for buying, selling, and renting residential properties in India.

IndustryReal Estate & Construction
LocationGurgaon, HR, India
Employees1K-5K
Founded2012

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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