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AI Inventory Optimization: Cut Stockouts, Not Safety Stock
AI helps keep the right products in stock The traditional fix for stockouts is more safety stock. Bump the reorder point, widen the buffer, sleep better. Except then you do a physical count six months later and find three pallets of a SKU that hasn't moved since February sitting in a rack lane you forgot you had. You solved one problem and created another. What AI-driven inventory optimization actually does — when it works — is separate demand signals that matter from the noi
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food distribution
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