Pick a scenario, then run the replenishment plan. The forecast is a trailing 14-day weekday-adjusted mean and nothing more; the value lives in the guardrails that turn that blunt forecast into a buyable, non-spoiling purchase order.
Representative store and SKU histories over 90 days. The shaded band is the trailing 14-day window the forecast averages; the highlighted dot is the resulting forecast point (weekday-adjusted). Promo days are marked. This is a plain trailing mean, not a learned demand model.
Run a plan on the Scenario tab to see forecast samples.
Every store and SKU line, raw forecast cases through the guardrail chain to final cases. Click a line to see the waterfall of guardrail steps. Filter by store or temperature class.
| Store | SKU | Temp | Shelf (d) | Forecast/day | Raw cases | Final cases | Status |
|---|
Six committed-PO guardrails run in order on every line. Counts show how many lines each rule actually changed in the current run.
Run a plan on the Scenario tab to see per-rule counts.
The honest trade. A naive order-up-to policy hits zero stockouts, but only by overstocking perishables into thousands of cases of spoilage. The guardrails eliminate that waste and accept a modest, deliberate stockout risk on the shortest-shelf lines.
Run a plan on the Scenario tab to compare.