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AI Governance in Retail Operations: Managing Data Quality, Automation Risk, and Decision Consistency
Retail leaders are scaling AI across merchandising, supply chain, service, and store operations, but value erodes quickly when data quality, automation risk, and inconsistent decisions are left unmanaged. This article outlines a practical governance model for enterprise retail operations, including decision rights, architecture choices, controls, implementation phases, and operating metrics that help partners and enterprise teams deploy AI responsibly and at scale.