Forecast accuracy
Measured every week against actual sales, by SKU, category, location and channel. Compared with your old method too.
Forecast Reports shows how good the forecast was, how often shelves were full and how much cash is tied up in stock. Weeks where the forecast missed are shown with the reason, so trust in the numbers is earned, not assumed.
Measured every week against actual sales, by SKU, category, location and channel. Compared with your old method too.
How often orders were filled in full, and how many days each SKU was out of stock.
Days of cover by category, and stock older than its normal selling window.
Cash tied up in stock, and how much was freed compared with the same season last year.
Forecasts saved every week and compared with what actually sold.
Large misses tagged with a cause such as an unplanned scheme or a supply delay.
AI forecast against planner overrides and your earlier method.
Scheduled PDF and Excel reports for founders, finance and category heads.
As 100% minus weighted absolute percentage error at the SKU and week level, so high selling SKUs count more. You can switch to other measures in settings.
No. Every week is shown, including misses, with the reason if one is known. That is the only way to know when to trust the forecast.
Slide to the number of SKUs you sell. The needle shows the plan that fits, and the first 30 days of forecasting are free for up to 500 SKUs.