inventory-demand-planning

Safety stock and reorder points are calculated by consolidating demand signals and applying risk-aware logic to handle variable lead times. This minimizes stockouts across locations while preventing excess inventory buildup for slow-moving items.

Promotional lift modeling and post-promo dip forecasting are supported to align inventory with seasonal promotions. This allows you to adjust replenishment targets and scenario plans specifically for new product launches and promotional events.

Replenishment planning uses scenario analysis to handle new product launches and slow-moving items. The system applies ABC/XYZ classification and forecast accuracy tracking to determine optimal reorder targets for these edge cases.

Demand forecasting accuracy improves by analyzing current POS and shipment data to generate weekly demand forecasts across SKU clusters. This drives replenishment planning and tracks accuracy for multi-location retailers.

Risk-aware reorder logic with guardrails handles variable lead times and edge cases. The system applies ABC/XYZ classification to maintain forecast accuracy and optimize inventory levels under shifting supply conditions.

Inventory planning fails when demand signals ignore promotional lift and post-promo dips. By applying scenario analysis and risk-aware reorder logic, you can align safety stock and replenishment targets with actual seasonal demand.