This skill equips Claude with the domain-specific knowledge of a senior demand planner with 15+ years of experience in multi-location retail. It provides specialized guidance on selecting forecasting models—ranging from Holt-Winters to Machine Learning approaches—optimizing safety stock based on lead time volatility, and managing complex promotional lifts. It is designed to bridge the gap between commercial intent and actionable procurement, helping developers and supply chain professionals minimize stockouts, reduce excess inventory, and optimize GMROI through mathematical frameworks like ABC/XYZ analysis and Economic Order Quantity (EOQ) logic.
主要功能
0127 GitHub stars
02ABC/XYZ inventory classification and strategic replenishment mapping
03Seasonal transition management and markdown timing frameworks
04Advanced forecasting method selection including SES, Holt-Winters, and ML models
05Safety stock optimization accounting for demand and lead time volatility
06Promotion lift estimation and cannibalization effect modeling
使用场景
01Optimizing inventory levels across multiple stores and regional distribution centers
02Developing automated replenishment logic for ERP or WMS integrations
03Generating demand forecasts for new product launches using analog SKU mapping