Inventory Demand Planning

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Optimizes multi-location retail demand forecasting, safety stock levels, replenishment schedules, and promotional lift using enterprise supply chain methodologies.

Inventory Demand Planning equips Claude with enterprise-grade supply chain expertise derived from 15+ years of multi-location retail planning across hundreds of SKUs. It guides users through demand signal cleaning, statistical and ML forecasting selection (such as Holt-Winters, STL, Croston, and regression models), and dynamic safety stock optimization that accounts for both demand and supplier lead time volatility. Designed for retailers, e-commerce brands, and supply chain operators, this skill enables robust ABC/XYZ inventory stratification, promotional lift and cannibalization modeling, markdown timing, and automated reorder calculation to balance high on-shelf availability against inventory holding costs.

Características Principales

0110 GitHub stars
02Dynamic safety stock formula incorporating demand and supplier lead time variability
03Statistical and ML forecasting model selection tailored to SKU velocity and demand patterns
04ABC/XYZ segmentation matrix for automated replenishment vs. manual intervention prioritization
05Promotional lift estimation factoring in cross-SKU cannibalization and post-promo troughs
06Actionable markdown timing and seasonal transition playbooks to minimize dead stock

Casos de Uso

01Formulating baseline forecasts, safety stocks, and reorder points across distributed retail store and DC networks
02Recalculating inventory requirements and buffer stocks during unexpected vendor lead time extensions
03Projecting promotional demand spikes, cannibalization effects, and post-sale dips for retail campaigns