Case Study: Keller Williams accelerates AI-driven efficiency with DataRobot

Keller Williams unlocks agent efficiency with AI

Keller Williams, the leading real estate franchise company, wanted to adopt predictive and generative AI across its business while ensuring those efforts were safe, accurate, and meaningful. To support this goal, the company worked with DataRobot and the DataRobot AI Platform, integrating it with Google Cloud Platform to help streamline AI development.

With DataRobot, Keller Williams automated much of the machine learning process, enabling faster development, testing, and deployment with low-code tools, feature engineering, MLOps, and governance for both predictive and generative AI. As a result, the company moved predictive models into production at least 3X sooner and expects DataRobot’s generative AI governance to save 3 to 4 weeks in bringing new products to market.

Keller Williams

Frederique De Letter

Senior Director Business Insights & Analytics