inventory-demand-planning

Calculate safety stock for multi-location retail inventory by analyzing demand variability, lead time variability, and target fill rates. This framework optimizes stock levels across locations to prevent stockouts while minimizing excess inventory holding costs.

Demand forecasting for seasonal and promotional retail SKUs requires selecting methods tailored to trending, intermittent, or new product patterns. The framework estimates promotional lift, calculates forward buy quantities, and plans for post-promo demand dips.

Replenishment planning integrates directly with ERP systems and demand planning suites like Blue Yonder, Oracle Demantra, and Kinaxis. It requires POS data feeds and WMS connectivity to generate suggested purchase orders with MOQ/EOQ rounding.

Manage large SKU inventories using ABC/XYZ analysis to categorize items by value and demand variability. This classification drives forecasting method selection and safety stock optimization across your multi-location retail network.

Automate purchase order generation by applying MOQ/EOQ rounding to replenishment plans and routing them for planner review. The framework includes vendor negotiation components and supports vendor portals for coordinated seasonal promotions.

Forecasting demand for new products lacks historical POS data, requiring specialized forecasting method selection within the demand planning suite. The framework addresses this through targeted new product introduction techniques rather than standard trending analysis.