Inventory & Demand Planning

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Optimizes retail inventory levels and demand forecasting using advanced statistical models and supply chain best practices.

This skill equips Claude with the expertise of a senior demand planner specialized in multi-location retail environments. It provides structured guidance for generating accurate demand forecasts, calculating optimized safety stock levels, and managing complex replenishment cycles. By applying methodologies like Holt-Winters smoothing, STL decomposition, and ABC/XYZ classification, the skill helps users balance high service levels with inventory efficiency. It is particularly useful for managing 300–800 SKUs across various categories while accounting for promotional lifts, seasonal transitions, and lead-time variability.

Key Features

01Comprehensive forecast accuracy tracking using WMAPE, Bias, and Tracking Signals
02Statistical forecasting selection including Exponential Smoothing and STL decomposition
03Inventory policy optimization via ABC/XYZ value and predictability matrices
04Advanced safety stock calculation accounting for lead time and demand variability
05Promotional lift estimation and post-promotion demand dip modeling
06151 GitHub stars

Use Cases

01Planning inventory for new product launches using analog SKU mapping
02Designing promotional buy quantities and coordinating vendor logistics
03Adjusting replenishment orders during supply chain disruptions or lead time changes