Bloomberg: Walmart and other retailers are laying the groundwork for personalized shelf prices

An electronic price tag on a shelf of mayonnaise could change the price the moment a can of tuna lands in your basket. Bloomberg calls this scenario surveillance pricing: pricing based on tracking the shopper. According to Bloomberg, large retailers, including Walmart, are securing technology that will let them determine how much a specific person is willing to pay. Walmart itself says it does not use such a strategy. The analysis aired on the Everybody's Business podcast, where Brad Stone discussed the topic with Stacey Vanek Smith and Max Chafkin.

An important caveat: only the episode description is publicly available. It contains no evidence that any chain is already changing prices based on a shopper's profile. The story is about technological preparation and the direction in which the industry is moving.

How it is supposed to work

The scheme in Bloomberg's example is simple. The system sees tuna in the basket and concludes that the shopper will probably also buy mayonnaise. Demand for mayonnaise at that moment is less elastic, so the price can go up. The same logic can apply to purchase history, time of day, neighborhood, device or the total on the receipt. All of these are inputs for a model that sets the price for the person, not for the product.

Dynamic pricing has existed in retail before. But prices changed rarely and for everyone at once: promotions, seasonality, warehouse stock. A personal price that depends on your basket works on a different logic.

Why electronic price tags change the economics

Paper price tags physically got in the way of such a scheme. To change a price, an employee had to walk to the shelf and swap the label. For thousands of items across hundreds of stores, that is expensive and slow. Electronic price tags remove this constraint: prices update centrally, within seconds and without human involvement.

Walmart has previously announced a large-scale rollout of electronic price tags based on VusionGroup solutions in roughly 2 300 stores. The company says the goal is price accuracy and savings on employee labor. Critics see the same infrastructure as a ready-made foundation for pricing that adapts to the individual shopper.

What the facts show

• Technology: electronic price tags plus an algorithm that receives data on the basket and the shopper's behavior.
• Example from the episode: the price of mayonnaise rises after tuna is added to the basket.
• Retailer at the center of the discussion: Walmart. The company denies using such a strategy.
• Source: Bloomberg, Everybody's Business podcast; participants are Brad Stone, Stacey Vanek Smith and Max Chafkin.
• Regulatory context: the FTC has been studying surveillance pricing practices since 2024, and New York State has a law requiring disclosure of the use of algorithmic pricing.
• Status: the description contains no confirmed cases of personalized prices on Walmart shelves.

What shoppers and retailers should do

Shoppers should compare the shelf price with the price in the chain's app and on its website. If the prices differ without a promotion, take a screenshot. It also helps to check which permissions you give the store's app: location, purchase history and personalized offers are exactly the "fuel" for such a model.

For retailers, the issue is reputation. Experiments with individual pricing quickly become public, and shoppers react sharply. Companies rolling out electronic price tags will have to explain in advance what exactly changes on the shelf and under what rules. For regulators, the main practical question is how to verify that the price on the tag does not depend on who is standing in front of the shelf.