Inventory Demand Planning

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Optimizes retail inventory through expert-level demand forecasting, safety stock calculation, and replenishment planning frameworks.

This skill equips Claude with the specialized expertise of a senior demand planner with over 15 years of experience in managing high-volume retail supply chains. It provides comprehensive frameworks for selecting forecasting models—ranging from simple moving averages to Holt-Winters and machine learning—conducting rigorous ABC/XYZ inventory segmentation, and calculating safety stocks based on demand and lead-time volatility. Designed for multi-location retailers, it helps users navigate promotion lifts, seasonal transitions, and vendor negotiations to minimize stockouts and reduce excess inventory, ultimately maximizing GMROI and operational efficiency.

主な機能

01Advanced safety stock optimization using Z-score and lead-time volatility
02Promotion lift estimation and cannibalization modeling
0312 GitHub stars
04Seasonal transition management and markdown timing protocols
05Expert forecasting model selection (SES, Holt-Winters, STL, and ML)
06Strategic ABC/XYZ inventory categorization and management policies

ユースケース

01Planning replenishment cycles under vendor MOQ and fluctuating lead-time constraints
02Calculating optimal safety stock levels to balance service targets against holding costs
03Generating and auditing demand forecasts for complex multi-location SKU portfolios