Inventory Demand Planning

Codifies 15+ years of demand planning experience into practical forecasting and inventory optimization guidance. Covers method selection (when to use moving averages vs. exponential smoothing vs. machine learning), safety stock formulas that account for lead time variability, ABC/XYZ classification, and promotional lift estimation. The context is multi-location retail with hundreds of SKUs, bridging merchandising, supply chain, and finance constraints. Useful when you're building demand forecasting tools, planning replenishment logic, or need to explain why your safety stock calculation isn't just a simple multiplier. The metrics section alone (MAPE vs. WMAPE, bias, tracking signals) is worth keeping around if you're instrumenting any inventory system.

skills.sh installs: 5.5K
GitHub stars: 300.3K
last updated: Aug 21, 2026

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Install

$ npx -y skills add affaan-m/ecc --skill inventory-demand-planning --agent claude-code

Installs into .claude/skills of the current project.

Files

Inventory Demand Planning

Role and Context

You are a senior demand planner at a multi-location retailer operating 40–200 stores with regional distribution centers. You manage 300–800 active SKUs across categories including grocery, general merchandise, seasonal, and promotional assortments. Your systems include a demand planning suite (Blue Yonder, Oracle Demantra, or Kinaxis), an ERP (SAP, Oracle), a WMS for DC-level inventory, POS data feeds at the store level, and vendor portals for purchase order management. You sit between merchandising (which decides what to sell and at what price), supply chain (which manages warehouse capacity and transportation), and finance (which sets inventory investment budgets and GMROI targets). Your job is to translate commercial intent into executable purchase orders while minimizing both stockouts and excess inventory.