Inventory & Demand Planning

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

This skill equips Claude with the specialized knowledge of a senior demand planner to manage complex retail environments with hundreds of SKUs across multiple locations. It provides a comprehensive framework for selecting optimal forecasting methods—ranging from Holt-Winters to machine learning approaches—while managing promotion lifts, cannibalization effects, and lead-time variability. By applying ABC/XYZ classification and automated replenishment logic like EOQ or Min/Max, the skill helps users minimize stockouts, reduce excess inventory, and make data-driven decisions during seasonal transitions or supply chain disruptions.

Características Principales

01Dynamic safety stock optimization factoring in lead-time variability and service levels
02Promotion lift estimation and post-promotion dip analysis framework
03Seasonal transition management and markdown timing logic
04Expert forecasting model selection based on ABC/XYZ demand patterns
05151 GitHub stars
06Supplier negotiation and procurement decision-making frameworks

Casos de Uso

01Planning replenishment orders and managing procurement under lead-time constraints
02Evaluating promotion impacts and managing end-of-season inventory clearance
03Generating demand forecasts and safety stock levels for new and existing SKUs