inventory-demand-planning

Safety stock and reorder point calculations are driven by historical demand data to minimize stockouts and excess inventory across hundreds of SKUs. The logic provides scenario-based replenishment recommendations with auditable rationale for planning decisions.

Demand forecasting during promotions and seasonal transitions uses ABC/XYZ-driven method selection to apply seasonal adjustments and estimate promotional lift. It also models post-promo dip estimation to prevent overstocking after promotional periods end.

ABC/XYZ classification improves inventory replenishment planning by segmenting SKUs to drive advanced forecast method selection. This classification ensures that safety stock calculations and reorder logic are tailored to the specific demand variability and value profile of each item.

Yes, you can generate multi-location replenishment plans by providing store-level demand history and POS data. This input generates a 12-week forecast and safety-stock plan optimized across the entire store network to manage stockout risk.

Inventory demand planning supports new product launches by applying scenario-based recommendations and ABC/XYZ classification logic. It turns available demand signals into actionable replenishment plans to manage stockout risk for items lacking extensive historical data.