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AI Operating Models for Retail Leaders Managing Fragmented Analytics and Workflow Complexity

Retail leaders do not usually struggle with a lack of data. They struggle with disconnected analytics, inconsistent workflows, and unclear ownership across merchandising, supply chain, stores, finance, and digital commerce. This article explains how to design an AI operating model that turns fragmented retail intelligence into governed, workflow-ready decision support. It outlines decision frameworks, implementation roadmaps, architecture choices, risk controls, and the role of AI-powered ERP in creating measurable business value.