Digital Shelf Tags and AI Pricing Are Spreading: What the Evidence Shows So Far

Shoppers who already feel squeezed by higher prices are now asking a second question: how did the store arrive at this one? The Associated Press, in a report by business writers Dee-Ann Durbin and Anne D’Innocenzio that ran on ABC News on October 18, describes consumers who are frustrated by high prices and confused, sometimes angry, about the technology that sets them. Digital tags are replacing paper ones in grocery aisles, and software that predicts how customers will react is helping retailers and restaurant chains decide what to charge.

For readers who care about buying well, this reaches beyond the supermarket. The same questions will follow you to the bags, shoes and straps you shop for online. Below is what the AP reporting establishes, what is still unknown, and a few habits that protect your wallet without much effort. Where this post offers an opinion rather than a reported fact, it says so.

What a digital shelf label actually does

Electronic shelf labels have been used for years in Europe and Asia, the AP notes, and they are now spreading to American retailers, including Walmart and Whole Foods. The retailers’ pitch is about labor and accuracy. Walmart’s chief executive, John Furner, wrote in a blog post that the tags save workers’ time and keep prices current, and that they are not used to raise prices based on weather, the time of day or the individual shopper. In his words, the company prices the product, not the person.

Consumer advocates worry that a tag which can change in seconds could someday enable surge or personalized pricing, and labor unions oppose the technology. The evidence cited in the story so far points the other way. Researchers who tracked an unnamed grocery chain after it adopted the labels found virtually no surge pricing. An executive at a retail-software firm told the AP that stores typically refresh shelf prices on a regular schedule, often weekly, because shoppers value consistency, and that changing them through the day the way airlines and rideshare apps do is exceedingly rare in grocery and general merchandise. A consumer-behavior expert at the consulting firm Kearney added that social media posts claiming Walmart’s planned labels scan shoppers’ faces or phones to set individual prices are false.

Three terms that get blurred together

Much of the confusion is vocabulary, and the AP separates three ideas that often get lumped together. Dynamic pricing means adjusting prices to market conditions, as airlines do when departure dates approach and as Uber does during surges. It is not automatically bad news for buyers. A web-data company called Decodo tracked price changes through 2025 across electronics, clothing and home improvement and found that about half of the US changes it recorded were decreases.

Personalized pricing, which some advocates and regulators call surveillance pricing, offers different prices or discounts based on things like location, income or browsing habits. A January 2025 staff report from the Federal Trade Commission found that intermediaries selling tailored pricing and promotion tools worked with at least 250 clients, among them grocery and clothing retailers. Algorithmic pricing is the broadest category: software that recommends or automatically sets prices, something companies have done for decades and that AI now makes sharper at estimating how a price change will affect demand. In a 2025 survey of more than 2,200 business leaders in 28 countries, cited by the AP, 41 percent said they used AI to gather market intelligence, including competitors’ prices, and 28 percent used it for real-time price optimization.

Lawsuits, settlements and new state laws

The AP lists several disputes that show where the lines are being tested. In 2022, California prosecutors sued Target, alleging its app showed lower prices before shoppers entered stores and higher ones once they were inside. Target agreed to a $5 million settlement and a ban on using geofencing to raise prices, and says its app does not personalize prices based on guest data. A 2025 investigation by Consumer Reports, Groundwork Collaborative and More Perfect Union found Instacart shoppers seeing different prices for identical products at the same stores; Instacart said it ended tests that randomly assigned shoppers to groups.

The FTC’s 2023 case against Amazon alleges that a tool codenamed Project Nessie helped identify products whose prices could be raised with competitors likely to follow. A trial is scheduled for next year, and Amazon says the allegations grossly mischaracterize a tool it scrapped before the lawsuit. A recent consumer lawsuit against McDonald’s alleges its pricing system uses nonpublic sales data from competing locations; the company calls the suit filled with inaccuracies and says the tool helps its franchisees set prices. Each of these is an allegation or a company response, not a finding.

Lawmakers are moving as well. According to the National Conference of State Legislatures, legislators in at least 30 states considered pricing bills in 2026. Maryland, New Jersey and Connecticut recently enacted limits on using shoppers’ personal data to set prices. The Maryland and New Jersey laws focus on groceries and include exceptions for certain loyalty discounts and promotions, while Connecticut’s covers a broader range of retail purchases. The FTC has also proposed an enforcement policy warning that failing to disclose the use of personal data in setting individualized prices could violate consumer protection law.

What nobody can say yet, and what to do anyway

The AP is careful about the limits. It is unclear how widely businesses use personal data to customize prices, and unclear how widely retailers use AI to set prices at all, though research suggests adoption is growing. A different price does not prove personal data was involved, since stores have always varied prices by location, season and supply. And companies are not always open about what customer data they collect.

Given that uncertainty, a few low-effort habits make sense. These are our suggestions, not anything the AP prescribes. Compare the same item at two or three sellers before buying anything expensive. Check the shelf tag against the receipt, and keep a screenshot of an online price at the moment you add an item to your cart. Read the price-adjustment and return policy before you pay rather than after. And when a seller posts one clear price for everyone, treat that transparency as part of what you are paying for. It is the standard we look for when judging bridle leather goods and workshop-made pieces, where a fixed, published price is the norm.

The story lands in a tough stretch for household budgets. Our recent coverage of September’s 3.7 percent inflation reading and of the slide in consumer sentiment gives the backdrop: when shoppers feel less sure about prices, they scrutinize every tag. This post is general information, not financial advice.

Sources

• AP (Dee-Ann Durbin and Anne D’Innocenzio), via ABC News: Consumer apprehension grows as US retailers adopt AI-assisted pricing tools, October 18, 2026