Built for planning teams
From raw sales history to a forecast you can defend. No data engineering project required.
Bring your own history
Upload sales data in the format you already use. No schema rewrites, no manual cleanup rounds.
Model ensemble
Statistical methods, machine learning and deep learning models compete. The best combination wins.
Your granularity
Forecast by product, channel, region or customer, over the horizon you actually plan against.
Accuracy you can audit
Every forecast ships with backtests and error metrics, so results can be reviewed and challenged.
External drivers
Add calendars, promotions, prices and other drivers to test scenarios before you commit.
Export and integrate
Send forecasts to your planning tools through file export or API.
Built for business and technical users
Planners work through a guided interface. Data teams keep access to the models, parameters and metrics behind every number.
