Two pricing-related patents recently granted to Walmart have prompted discussion about surveillance-based pricing and personalized charges. The filings describe systems that could use demand forecasts, past purchases and price responses to adjust product prices. There is currently no evidence that Walmart charges different customers different prices based on their personal information. The company says the patents do not mean the technology is in use or that it will become a commercial product or service.
Patents describe demand forecasts and price recommendations
Walmart received patent US12524776B2 in January for a system that can automatically adjust discounts and markdown levels on its website based on expected demand and consumers' responses to prices.
A second patent, US12572954B2, granted in March, describes using previous purchasing behavior to forecast demand and recommend prices. The data listed in the filing may include payment methods and customer-identification information. Neither patent states that Walmart has deployed the systems in its operations.
A patent sets out a technical approach for which a company is seeking protection; it does not confirm that the approach is part of an existing commercial process. Jameson Spivack of the Future of Privacy Forum said such filings can indicate areas a company is researching, but may not accurately show how the technology will ultimately be used. In his view, Walmart's patents are closer to product-level price adjustments than to setting a separate price for a specific customer.
Product-level markdowns differ from personal pricing
The distinction between the two models is significant. If a retailer expects demand for a product to weaken and cuts the price, shoppers at the same store or website will generally see the same price. Personalized pricing, by contrast, means using a customer's identity, purchasing habits or other information to determine the specific amount that person pays.
Jay Stanley, a senior policy analyst at the American Civil Liberties Union, also found no clear language in the patents proposing different prices for different consumers. He said retailers have long forecast demand and sought appropriate price points, making that part of conventional retail pricing practice.
Retailers, however, now have access to far more consumer information than in the past. Loyalty programs, online shopping and digital advertising systems can give companies an ongoing view of what consumers buy, browse and revisit. Walmart's privacy notice says the company collects purchase history as well as browsing and search activity on its websites and apps, and may use that information for advertising, product recommendations and promotions.
Walmart is also expanding its advertising business, using consumer data for targeted campaigns. Combining purchase records with browsing behavior and search interests allows retailers to build increasingly detailed profiles of shopping habits. That data infrastructure is part of the real-world context behind the current debate over personalized pricing.
Walmart denies charging based on customer profiles
A Walmart spokesperson said the company has a long history of technological innovation and that patent applications are one way to protect ideas and intellectual property. The spokesperson also stressed that receiving a patent does not mean the technology is currently being used or will become a Walmart product or service.
The spokesperson specifically said Walmart will not charge different prices based on customers' personal information, purchase intent or purchase history. The statement draws a line between the potential capabilities described in the patent filings and the company's position that it does not currently operate a pricing system based on individual profiles.
Digital shelf labels keep transparency in focus
Separately, Walmart has been replacing paper price tags with digital shelf labels at stores across the United States. The labels allow employees to update prices centrally rather than replace tags one by one. Walmart said in March that about 2,300 U.S. stores were using the technology and that it expected to extend the rollout across its store network over the following year.
The company says price changes are generally made outside store hours and reviewed by employees. Within a single store, it says a product's price does not change based on demand, the time of day or which customer is shopping. Walmart has also said the digital labels do not collect customer information.
The rollout of digital shelf labels does not, by itself, show that either of the two patents is being used to set prices in physical stores. The Federal Trade Commission is examining whether businesses should tell consumers when personal data is used to set prices.
For consumers, the central issue is not every form of dynamic pricing. It is whether a retailer can charge more for the same product because it knows who a shopper is or understands that person's immediate circumstances. Stanley offered a simple example: if a retailer knew someone had a cold, would it raise the price of tissues for that individual? That question illustrates the boundary between a uniform product markdown and a price tailored to a specific customer.