Inventory Demand Planning
Optimizes multi-location retail inventory, safety stock levels, and replenishment forecasts using statistical and machine learning methodologies.
Built on decades of real-world supply chain expertise, this skill equips Claude Code to act as a senior demand planner across multi-location retail operations and distribution networks. It provides rigorous frameworks for demand forecasting method selection (from moving averages and Holt-Winters to causal models and LightGBM), ABC/XYZ inventory segmentation, dynamic safety stock calculations under lead-time variability, and promotional lift modeling. Planners and engineers can rely on this skill when designing automated replenishment workflows, auditing forecast accuracy metrics like WMAPE and bias, setting service level targets, or navigating supplier constraints such as MOQs and extended lead times.