Product Onboarding & Catalog Enrichment

Walmart demonstrated the transformative power of AI in catalog enrichment by using large language models to create or enhance more than 850 million pieces of product data. Executives said this level of enrichment would have required 100 times more staff if done manually. The enhanced catalog data now affects every part of the retailer’s operations—from how customers find products online to how inventory is stored and tracked in stores. Associates can locate items quickly using mobile tools, eliminating what they once called a “treasure hunt” for products.

Amazon’s strategy emphasizes measurement and validation. The company uses A/B testing to assess whether enriched product data improves customer experience, including higher conversion rates and better-informed purchase decisions.

In media and entertainment, Fabric Studio, powered by Amazon Web Services (AWS), helps organizations manage extensive metadata for digital catalogs. Sinclair Broadcast Group, for example, used the solution to improve data consistency across its film and television assets, reducing manual editing and accelerating time to market. 63 2.1 Market (Go-to-Market & Customer Acquisition) Walmart’s broader AI initiatives also extend to supply chain optimization. Its automated contract negotiation system has generated cost savings of about 1.5%, while automation in supply chain operations has improved average unit costs by 20%, according to company disclosures. Transitioning from manual to automated processes has yielded dramatic efficiency gains, with AI-driven tagging systems processing product data in real time and reducing human and operational costs by as much as 90%.