Walmart announced that it has been granted two U.S. patents that give machine‑learning and other automated processes more influence over its pricing decisions. The patents were granted in January 2026 and March 2026, and the announcement was reported by the Financial Times and confirmed by the U.S. Patent and Trademark Office.
One patent covers a system and method for dynamically and automatically updating item prices for markdowns in Walmart’s e‑commerce unit, while the other covers a system that uses machine learning to predict demand and recommend prices. Walmart clarified that the patents are decision‑support tools and are not intended for real‑time surge pricing, consistent with its everyday‑low‑price strategy.
The patents are part of a broader push by Walmart to embed technology and automation across its operations. Since January 2026, the retailer has secured nearly 50 U.S. patents, including those for digital shelf labels slated for rollout in U.S. stores by 2027 and a new data‑insights platform for suppliers.
The patents also come amid growing regulatory scrutiny of algorithmic pricing. Several states have introduced bills to restrict or ban dynamic pricing and electronic shelf labels for groceries and consumer goods, which could affect the timing and scope of Walmart’s rollout plans.
The market reaction was muted, with analysts viewing the patents as an incremental, execution‑driven development rather than an immediate earnings catalyst, reflecting the company’s focus on long‑term technology investment.
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