Revenue Prediction

Services: Gradient Boosted Trees


A large, publicly traded technology company sought to replace ineffective, legacy revenue forecasting models.



We developed two Gradient Boosted Tree models that predict quarterly revenue (up to 8 quarters out). One model could predict granular revenue by:

  • Region and Territory
  • Business Unit 
  • Product Line
  • Market and Segment

A second model was focused on explainability and predicts the error rate per quarter and category.


We achieved over 18% greater accuracy predicting revenue while also providing granular predictions, up to two years into the future.