What's new on Qoblex

We help small to medium e-commerce entrepreneurs run their businesses

New
June 22, 2026

🎯 Plan for seasonal demand and exclude past stockouts from your forecast

Two controls in the forecast parameters panel for tuning the calculation to match your real situation rather than raw historical averages.

Ignore stockout periods If you ran out of a product for several weeks, those weeks show zero or near-zero sales — not because demand was low, but because you had nothing to sell. Left in, they drag your demand average down and cause the forecast to understate what you actually need. Toggle "Ignore stockout periods" on and Qoblex excludes those weeks from the denominator when calculating Historical Average Weekly Sales.

  • Stockout detection uses inventory availability for the selected variant and location scope.
  • When the option is on, the forecast explanation shows how many days/weeks were excluded due to stockouts.
  • If stockout status cannot be determined for a period, Qoblex shows a warning and includes the period in the average by default — no silent exclusions without a data basis.
  • This setting affects the demand calculation only; it does not alter stock history or inventory records.

Growth factor (%) Planning ahead of a promotional push or a seasonal peak? Enter a growth percentage and the backend scales the calculated weekly sales velocity by 1 + growthFactor/100 before computing forecast quantity, projected stock, and replenishment PO quantities. A value of 20 means all derived outputs run approximately 20% higher.

  • Default is 0 (no adjustment). Reset returns it to 0.
  • Negative values are accepted (planning for expected decline), but there is no hard floor enforced in V1.

The multiplier is applied globally per forecast run — no per-product or per-category growth factors in V1. The value is entered fresh each time; there is no persistent user preference.