inventory-demand-planning

Safety stock calculation uses lead times and demand forecasts to set reorder points for 40–200 store networks. It generates replenishment recommendations and suggested purchase orders to prevent stockouts across regional distribution centers.

Demand forecasting applies moving averages, Holt's, Holt-Winters, STL, and causal models to predict seasonal demand. These methods adjust for promotional lift, post-promo dips, and cannibalization during seasonal transitions and new product launches.

ABC/XYZ classification supports inventory replenishment across 40–200 stores by categorizing SKUs based on value and demand variability. This classification feeds into safety stock targets and weekly replenishment planning for multi-location retailers.

Promotional lift estimation uses historical POS data and promotion inputs to forecast demand spikes. It models post-promo dips and cannibalization effects to align replenishment and prevent overstock after promotional periods end.

Demand forecasting uses POS data, shipments, lead times, and promotions as inputs to generate suggested purchase orders. It supports vendor negotiation by optimizing replenishment plans and coordinating purchase orders across regional distribution centers.