What problem does it solve? Retail stores run out of stock or overstock because reorder decisions rely on manual checks. This Skill automates warehouse-to-store replenishment by calculating reorder quantities from min/max levels, consumption rates, and lead times, targeting over 95% in-stock rates. ## Core Features & Use Cases - Reorder Proposals: Generate daily per-store reorder proposals with dry-run mode, respecting min/max levels and order multiples per SKU. - Cluster Allocation: Distribute limited warehouse inventory proportionally across store clusters (urban, suburban, mall) based on demand and fairness rules. - Lead Time Monitoring: Track actual versus quoted vendor lead times and adjust safety stock recommendations. - Use Case: A supply-chain manager runs a dry-run reorder for STORE-01 each morning, reviews the proposed SKU quantities and estimated cost, then commits the order and allocates constrained stock across clusters. ## Quick Start Ask the agent to generate a dry-run replenishment reorder proposal for store STORE-01 and show which SKUs fall below their minimum levels.