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AI Governance in Retail for Managing Forecasting Risk, Workflow Consistency, and Executive Reporting

Retail leaders are under pressure to scale AI without increasing forecasting volatility, operational inconsistency, or executive blind spots. This article explains how AI governance in retail creates decision rights, controls, architecture standards, and operating models that improve forecast reliability, standardize workflows, and strengthen executive reporting across stores, channels, and supply networks.