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Automatic valuation model to use predictive models in the real estate industry

AI Solution

industry

Auto Valuation Model

Challenge

Keller Williams wanted to strategically pivot into iBuying where they use predictive models to buy and sell real estate online.

Solution

KUNGFU.AI developed a proprietary XGBoost, Tree-based ML model that can predict home values accounting for thousands of structured and unstructured features. We  established a human-in the loop training systems where brokers can give feedback and train the models.

Auto Valuation Model

Outcome

Solution helped Keller Williams generate a new revenue stream which is currently being piloted in three markets.

Gradient Boosted Trees

Auto Valuation Model

Challenge

Keller Williams wanted to strategically pivot into iBuying where they use predictive models to buy and sell real estate online.

Solution

KUNGFU.AI developed a proprietary XGBoost, Tree-based ML model that can predict home values accounting for thousands of structured and unstructured features. We  established a human-in the loop training systems where brokers can give feedback and train the models.

Auto Valuation Model

Outcome

Solution helped Keller Williams generate a new revenue stream which is currently being piloted in three markets.

Gradient Boosted Trees

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