Several technologies, one growing concern
Retailers are using more software to manage prices, and consumers are increasingly asking whether the number they see is the same one shown to everyone else. The debate often groups together three different practices: digital shelf labels, dynamic pricing and personalized pricing. Understanding the difference is essential to evaluating what a store is actually doing.
Digital shelf labels replace paper tags and allow employees to update prices electronically. They make changes faster but do not, by themselves, identify a shopper or set an individual price. Dynamic pricing changes a price in response to market conditions such as demand, inventory or time. Personalized pricing uses data about a person or group to estimate what that customer may be willing to pay.
AI can support decisions without defining the policy
Algorithmic pricing systems have existed for years. Artificial intelligence can expand their ability to examine sales patterns, competitors’ prices and customer behavior. The software may recommend a price or apply one automatically, depending on how the retailer configures it.
That distinction matters because the same technical system could be used to mark down excess stock, match a competitor or tailor an offer based on personal data. The policy chosen by a business—and what it tells customers—can be more consequential than whether the tool is labeled AI.
Digital labels are not facial scanners
Some online claims have suggested that electronic shelf labels scan faces or phones to assign different prices. The Associated Press reported that those claims misstate how the labels themselves work. Walmart has said its electronic labels are designed to save employee time and keep displayed prices current, not to raise prices based on the weather, time of day or individual shopper.
Consumer unease persists because companies do not always explain what data their broader pricing systems collect or how that information is used. A shelf display can be innocuous while a separate app, loyalty account or advertising system collects detailed behavior. Clear disclosure is therefore more useful than assumptions based on the appearance of the price tag.
Regulators focus on personal data and transparency
The Federal Trade Commission has proposed an enforcement policy on personalized pricing. The agency says it cannot prohibit the practice in every circumstance, but a company that fails to disclose its use of personal data to set an individualized price may violate federal consumer-protection law.
Legislators in at least 30 states considered pricing bills in 2026, according to the National Conference of State Legislatures. Maryland, New Jersey and Connecticut enacted restrictions involving personal data and retail prices, with differences in the products and practices covered. That state-by-state variation means businesses may face a growing compliance burden even without a single national rule.
Questions shoppers can ask
Consumers can compare the shelf price, app price and checkout price; review loyalty-program settings; and look for disclosures explaining whether location, browsing or purchase history affects offers. A different price does not automatically prove personalization: promotions, store location, inventory and random tests can also create variation.
The larger issue is accountability. Businesses gain efficiency when software can process more information and update prices quickly. Customers need enough information to understand whether those changes reflect market conditions or an estimate derived from their own data. As adoption spreads, trust will depend less on the sophistication of the algorithm than on transparent rules, accurate displays and meaningful enforcement when companies mislead shoppers.
Sources: Associated Press explainer · Federal Trade Commission policy proposal. Reporting reviewed October 18, 2026.