Pricing & Product · ML
Cut stock-out losses with demand forecasting
−35%
A stock-out costs twice: the order you lose today and the ranking you lose tomorrow. This engagement builds a demand forecast that knows about your seasons and the platform campaign calendar, then converts it into reorder dates.
The process
Land the sales and stock history
Daily units, inventory positions and purchase orders pulled into the warehouse, with stock-out days flagged so lost demand is not read as low demand.
Encode the calendar
Platform campaign dates, public holidays and your own promotion windows added as features, because most Asian e-commerce demand is calendar-driven, not smooth.
Fit and back-test the model
Forecasts fitted per SKU family and back-tested against held-out periods; accuracy is reported per horizon, not as one flattering average.
Turn forecast into reorder rules
Supplier lead time and variability combine with the forecast to compute a reorder point and safety stock per SKU — a date and a quantity, not a chart.
Run it weekly and correct
The forecast refreshes on a schedule, with forecast error and stock-out days tracked so the model is corrected against reality rather than trusted indefinitely.
What we need from you
- Two years of daily sales and inventory movements
- Supplier lead times and minimum order quantities
- The campaign calendar you actually plan against
What you get
- Back-tested demand forecast by SKU family
- Reorder point and safety stock per SKU
- A weekly refresh with forecast-error and stock-out tracking
Timeline
Four to six weeks to first production run.