Inventory & Demand Planning
Optimizes retail inventory levels through advanced demand forecasting, safety stock calculations, and replenishment strategy modeling.
This skill transforms Claude into a senior demand planning expert, capable of managing complex retail supply chains with 300-800+ SKUs across multiple locations. It provides deep technical frameworks for selecting appropriate forecasting methods (such as Holt-Winters or STL decomposition), calculating precise safety stock under lead time variability, and planning high-impact promotional lifts. Designed for supply chain analysts and retail managers, it bridges the gap between commercial intent and operational execution by minimizing stockouts while optimizing inventory investment and GMROI.
Key Features
01Promotional lift estimation and post-promotion demand dip modeling
02Advanced safety stock optimization using Z-scores and lead time variability
03ABC/XYZ inventory classification for prioritized asset management
044 GitHub stars
05Multi-method demand forecasting including Exponential Smoothing and ML models
06Strategic replenishment planning via Min/Max, EOQ, and Periodic Review logic
Use Cases
01Generating initial demand forecasts and safety stock buffers for new product launches
02Adjusting replenishment parameters in response to global supply chain lead time changes
03Planning inventory levels for seasonal transitions and large-scale retail promotions