inventory-demand-planning

To calculate safety stock and replenishment plans, you need historical sales data, lead times, seasonality patterns, and service-level targets to generate accurate forecasts and distribution recommendations across multiple retail locations.

Demand forecasting during seasonal transitions and promotions applies promotional lift estimation, cannibalization assessment, and post-promo dip modeling to predict sales spikes and prevent excess inventory after the event ends.

ABC/XYZ classification guides inventory planning by categorizing SKUs based on value and demand variability, determining which items require automated replenishment versus human review to optimize forecast accuracy and management effort.

Yes, lead time data is required to optimize safety stock for new SKU launches, as vendor coordination and lead time changes directly impact target service levels and replenishment frequency calculations.

Forecasting method selection matches algorithms to individual SKU demand patterns and data availability, ensuring reliable demand predictions for items ranging from stable steady-sellers to volatile seasonal products.

Replenishment planning accommodates vendor coordination and lead time changes through scenario analysis across multi-location distribution networks, adjusting safety stock and reorder points dynamically based on updated supply timelines.