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AI Analytics Modernization in Retail for Faster Merchandising and Replenishment Decisions
Retail leaders are modernizing analytics to shorten merchandising cycles, improve replenishment accuracy, and align inventory decisions with real demand. This article outlines the business case, target architecture, operating model, implementation roadmap, governance controls, and decision frameworks required to turn fragmented retail data into faster, more reliable action.
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