inventory-demand-planning

Calculate safety stock by combining demand variability and lead-time uncertainty to set min/max reorder points. This ensures you maintain target in-stock service levels across multiple store locations while minimizing excess inventory.

Forecast demand for new SKUs and seasonal transitions by using analog-based profiling and applying conservative buffers. This approach manages lifecycle transitions effectively without historical sales data for the specific item.

Estimate promotional lift by modeling incremental demand, factoring in cannibalization effects, and adjusting for post-promo dips. This prevents inventory whiplash by accurately forecasting the drop in sales after the promotion ends.

Select demand forecasting methods by classifying SKUs through ABC XYZ segmentation and analyzing demand patterns. This categorization identifies the most suitable statistical approach for each product's specific volatility and value.

Yes, you can generate replenishment recommendations across thousands of SKUs and many stores. The process translates forecasts and safety stock targets into actionable reorder policies with clear escalation triggers for operational scale.

Recalibrate forecast accuracy and track inventory performance using bias, WMAPE, in-stock rates, and excess supply indicators. These metrics provide operational decision frameworks to keep your replenishment plan on track.