Inventory Demand Planning
Optimizes retail inventory through advanced demand forecasting, safety stock calculations, and replenishment planning strategies.
This skill equips Claude with the codified expertise of a senior demand planner to manage complex multi-location retail supply chains. It provides precise guidance on selecting forecasting models—from Holt-Winters to machine learning—calculating safety stock to balance service levels against holding costs, and managing the entire product lifecycle including promotional lifts and seasonal markdowns. It is an essential tool for developers and analysts building ERP integrations, inventory management systems, or retail analytics suites that require sophisticated supply chain logic.
Características Principales
01Dynamic safety stock optimization based on service level targets and lead time variability
02Sophisticated reorder logic including Min/Max, EOQ, and periodic review cycles
03Promotional planning tools for lift estimation, cannibalization, and post-promo dip analysis
0440,356 GitHub stars
05ABC/XYZ inventory segmentation for strategic SKU prioritization and policy setting
06Advanced demand forecasting using Moving Averages, Exponential Smoothing, and ML models
Casos de Uso
01Planning end-to-end seasonal transitions and markdown timing to maximize gross margin
02Building automated replenishment systems that adjust to seasonal demand shifts
03Developing retail dashboards to track WMAPE, bias, and tracking signals for inventory health