Forecast demand
before it
hits the shelf.
Stop planning from .
- Every product. Every region. One model.
- Tagged by category, segment, region and forecast horizon.
- Trained on your own order history, retrained in seconds.
Every series forecast. Every number traceable.
From raw orders to a reorder plan.
Everything a planning team needs to go from a messy export to decisions it can defend.
Recursive ML forecasts
Month-by-month demand for every product and region from a Ridge + Gradient Boosting ensemble, with 80% prediction ranges.
Inventory you can act on
Safety stock and reorder points at 90, 95 or 99% service levels, with lead times you can override per plan.
Power BI-grade analytics
Revenue, margin, state, segment and ship-mode breakdowns with slicers that update every view at once.
Honest model metrics
R², MAE, RMSE, MAPE and time-series CV on a true holdout year, with no leaky features inflating the numbers.
Bring your own data
Drop in a Superstore-style .xlsx or .csv. It's validated, cleaned and the model retrains in seconds.
Built for speed
Command palette, keyboard navigation, CSV export on every table, and an API you can call from anywhere.
Three steps. No data science degree.
Upload order history
Any export with order date, product, region, quantity and sales. Missing columns are derived for you.
Train in seconds
Lags, rolling windows and seasonality are engineered automatically, then evaluated on the most recent year.
Plan with confidence
Forecast demand, size safety stock and set reorder points for every SKU and region from one dashboard.