How Walmart Uses a Large Language Model to Streamline Product Catalogs

Walmart uses a large language model (LLM) to automatically manage and improve its massive product catalog, which includes hundreds of millions of items. The LLM helps extract and validate product information—like size, color, or material—by reading item descriptions and cleaning up messy or incomplete data. It also helps group similar products and make sure the catalog is accurate and searchable.
This use of LLMs reduces the need for manual data entry, speeds up catalog updates, and improves the overall shopping experience for customers by making it easier to find the right products. Walmart’s system, including tools like Ghotok and prompt-based agents, shows how LLMs can handle retail tasks at a huge scale efficiently.
https://tech.walmart.com/content/walmart-global-tech/en_us/blog/post/using-llms-to-manage-product-catalogs.html