Walmart Wins Patents for AI-Powered Price Changes
Retail giant secures patents for AI that sets prices using demand data and third-party info.
Walmart has secured two key patents from the U.S. Patent and Trademark Office for AI systems designed to automate and optimize pricing decisions. Patent US-12524776-B2 outlines a method for dynamically updating e-commerce prices by combining price elasticity data and predicted demand to generate an initial markdown price, with a fallback 'bounded price' range when that data is unavailable. The second, US-12572954-B2, uses machine learning to predict item demand and recommend prices, with patent schematics indicating the potential use of controversial third-party data, similar to practices used by airlines.
This technological push aligns with Walmart's recent announcement to equip all stores with digital shelf labels by year's end, enabling swift price changes. While the company told the Financial Times the patents are 'unrelated to dynamic pricing'—claiming one is for markdowns and another aids merchant decisions—the capability for rapid, data-driven adjustments has fueled public anxiety about 'surveillance pricing.' This practice involves charging different prices based on individual customer attributes. In response, at least a dozen states are considering legislation to regulate such algorithmic pricing, with New York already requiring consumer notification when personal data is used to set a price.
- Walmart awarded patents US-12524776-B2 and US-12572954-B2 for AI that sets prices using demand prediction and elasticity data.
- Company is rolling out digital shelf labels to all stores, enabling real-time price updates alongside e-commerce patent capabilities.
- Patents spark 'surveillance pricing' fears, leading to legislative action in states like New York requiring algorithm transparency.
Why It Matters
This signals a major shift towards real-time, personalized pricing in retail, raising significant consumer protection and privacy concerns.