A large global retailer implemented a system combining Large Language Models (LLMs), Computer Vision, and automated attribute enrichment for item master mapping and matching. This system significantly improved product search, leading to a higher digital order conversion rate and a better customer experience. The system also achieved a massive reduction in the effort required to map and match new products with a success rate exceeding 90%.