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Inventory & Demand Planning

sickn33bysickn33
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40k
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Soluciones de Comercio Electrónico

Optimizes retail inventory through advanced demand forecasting, safety stock calculations, and strategic replenishment planning.

This skill equips Claude with the specialized expertise of a senior demand planner, enabling it to manage complex multi-location retail environments. It provides codified logic for various forecasting methods like Holt-Winters and machine learning models, calculates precise safety stock levels based on service level targets, and optimizes replenishment cycles using EOQ and Min/Max logic. Ideal for supply chain professionals and developers building retail systems, it also covers promotional lift estimation, cannibalization analysis, and ABC/XYZ inventory segmentation to balance service levels against inventory investment.

Características Principales

01Dynamic safety stock calculations accounting for lead time variability and service level z-scores
02Automated replenishment logic including Min/Max, Reorder Point (ROP), and Periodic Review
03Promotional planning tools for lift estimation, cannibalization, and post-promo dip analysis
04Advanced forecasting models including Exponential Smoothing, STL Decomposition, and ML-based regression
05Strategic ABC/XYZ classification to prioritize high-value and high-variability SKUs
0640,356 GitHub stars

Casos de Uso

01Designing automated replenishment systems for multi-location retail chains
02Forecasting seasonal demand peaks and planning markdown transitions
03Optimizing safety stock levels to reduce stockouts while minimizing holding costs