Retail AI success hinges on structured data—not just algorithms. Many initiatives fail due to poor product taxonomy, fragmented customer data, and disconnected systems. Retailers must shift focus from tools to information architecture: unified taxonomies, enterprise ontologies, metadata standards, and strong governance. Integration across PIM, DAM, CRM, and ERP ensures personalization, operational efficiency, and AI scalability. Case studies from PetSmart and others show improved conversion, loyalty, and fulfillment. Retailers that embed AI into clean, connected ecosystems will drive revenue, reduce costs, and stay competitive.

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