This post documents how stores set prices using personal data, and the questions that raises for fairness and privacy. The documented cases and government findings are linked throughout so you can verify every claim. Details are accurate as of publication on June 24, 2026. Pricing technology and the rules around it are changing fast, so check the linked sources for the current picture.
Most of us grew up with one simple idea about prices: the sticker on the shelf is the price, and it is the same price for everyone. That idea is breaking down. The price you see can now depend on who the store thinks you are, what device you are holding, where you live and how badly the seller believes you want the item.
There are two different things going on here, and they often get mixed together. It is worth keeping them separate.
Two Different Things
Dynamic pricing means the price of an item changes over time. The same price is shown to everyone at that moment, but it can move based on demand, time of day, weather or what a competitor is doing. Airlines have done this for decades. Ride-share surge pricing is the version most people have felt.
Surveillance pricing, sometimes called personalized or individualized pricing, is the one that should worry you. This is when the price is set for you specifically, based on personal data about you. Two people can look at the exact same product at the exact same moment and see two different prices, because the system has decided you will pay more.
The first is annoying. The second is a different kind of problem, because it turns your own data into a tool used against your wallet.
What Is Actually Documented
This is not a theory. There is a public record of companies showing different prices to different people.
- Amazon, 2000. Amazon ran a price test on 68 DVD titles where customers were charged different prices for the same disc. After customers compared notes and the story broke, Amazon refunded 6,896 people an average of $3.10 each. Amazon said the test was random and not based on customer data, and apologized. Its own statement is still online (Amazon press statement), and the reporting at the time framed it as an early test of pricing by perceived willingness to pay (LA Times).
- Staples, 2012. A Wall Street Journal investigation found Staples showed different online prices based on a shopper’s location, deduced from their IP address. The pattern was ugly: areas with lower average income tended to see higher prices (The Verge summary).
- Orbitz, 2012. The travel site found Mac users booked pricier hotels, so it started steering Mac visitors toward more expensive options than Windows users saw (Reuters).
- Northeastern University, 2014. Researchers tested 16 major retail and travel sites and found real price discrimination and steering at named companies including Home Depot, Sears, Orbitz, Priceline, Expedia and Travelocity (study summary, full paper, PDF).
Then there is the government’s own finding. In January 2025 the Federal Trade Commission released the initial results of a study into surveillance pricing. It found that retailers can and do use personal information, down to a person’s location, demographics, browsing patterns and even mouse movements on a page, to set targeted prices for the same goods. The study identified intermediary firms working with at least 250 client businesses across groceries, apparel, health and beauty, and more (FTC press release, FTC surveillance pricing hub).
So the practice of charging different people different prices using their data is real, it is documented and the FTC has put its name on it.
The In-Store Build-Out
Online pricing has always been easy to change. The new development is that physical stores are putting the same flexibility on the shelf.
Walmart is replacing paper price tags with digital shelf labels at 2,300 stores by 2026, on technology that can update over 120,000 items within minutes (Reuters). These labels are already in Whole Foods, Amazon Fresh and other chains, and the hardware can change a price as often as every ten seconds (NPR).
Kroger has gone a step further. Its digital shelf system, called EDGE, was built with Microsoft and pairs the digital tags with cameras that use facial recognition to estimate a shopper’s age and gender, then show them targeted ads and offers on the display (The Record).
Put those two pieces together, a price that can change in seconds and a camera that profiles the person standing in front of it, and you can see why people are alarmed. The infrastructure to charge you a personal price in a physical aisle is being installed right now.
Where the Concern Is Coming From
This is not just shoppers being paranoid. The people raising flags include federal regulators and members of Congress.
- Senators Elizabeth Warren and Bob Casey wrote to Kroger warning that digital tags plus customer profiling could let the company “determine how much price hiking each of us can tolerate” and display each person’s maximum willingness to pay (letter, PDF, press release).
- Representative Rashida Tlaib warned the same technology could enable “biased price discrimination” and gouging in areas with little grocery competition (USA Today).
- Delta Air Lines announced plans to put AI revenue management on 20% of its domestic network, working with a pricing firm called Fetcherr. A Delta executive told investors the technology could set fares based on a prediction of what people are “willing to pay.” Senators called this individualized pricing aimed at each consumer’s personal “pain point” (Reuters, Senator Gallego).
- After the pushback, the U.S. Transportation Secretary said the department would investigate any airline that individualizes seat prices by personal data (Reuters). Lawmakers have introduced a bill to ban setting prices using personal data.
The legal walls are not built yet, but the alarm is bipartisan enough that they are starting to go up.
What the Evidence Does Not Show
I want to be straight about the limits of this, because the strongest version of the story is not yet proven.
There is no public proof that Walmart or Kroger are currently charging two shoppers different shelf prices for the same eggs based on a face scan. Both companies deny it flatly. Walmart says its digital labels are not for dynamic pricing, that it sticks to everyday low prices and that updates happen overnight rather than hour to hour (Retail Brew). Kroger says it “does not and has never engaged in surge pricing” and has no plans to use facial recognition to set prices. Delta told senators no Delta fare has ever targeted individuals using personal data (NYT). Several economists quoted in that coverage say grocery bills have not gone up because of the tags.
So the proven cases of “different people, different prices” are online, where it is cheap and invisible. In physical stores, what exists today is the capability and the data collection, not a confirmed face-based price in the aisle. That distinction matters. If you claim more than the record supports, you hand the companies an easy way to wave the whole thing off.
The honest summary: the online practice is documented, the in-store machinery is being installed and the official warnings are real. Whether the grocery aisle becomes the airline seat is the open question.
Why I Think This Is Wrong
This part is my opinion, not a documented fact.
Pricing a product by demand is one thing. Pricing a person is another. The moment a system tries to read your face, your clothes, your phone or your shopping history to guess how much you can be squeezed, it has stopped selling a product and started exploiting what it knows about you.
Judging someone’s ability to pay by how they look is the part I cannot get past. A tired expression, an older phone, a certain neighborhood, none of that is consent to be charged more. It punishes people for being readable, and it punishes the people who can least afford it the most, because the systems are tuned to find the limit of what you will tolerate.
A price should describe the item. It should not be a guess about your wallet.
The Budget Angle
This is not abstract for me. I run on a strict budget, strict enough that I built my own privacy-first budgeting software, QuietLedger, specifically so big tech would not get my financial data.
When you budget carefully, you plan around known prices. You see eggs at $2.49 and you build the week around that number. Surveillance pricing attacks that directly. If the price you planned around can shift based on who the store thinks you are, planning becomes guessing. The people who budget to the dollar are exactly the people who get hurt when the dollar moves on them at the register.
There is a bitter irony in it too. The data that gets used to raise your price is often harvested for free from the same phone you are using to track your spending.
What You Can Do
I am not telling you how to live. But here is what I do, and what I would ask you to consider.
- Check your receipts. Compare the shelf price to what you were actually charged. Errors and quiet changes are easier to catch than you think.
- Compare across channels. Look at the price in the store, in the app and on the website for the same item. Differences are the whole story.
- Shop logged out and compare. Online, an item can cost less in a private window or a different account. Test it.
- Push back where it counts. Support the legislation aimed at banning pricing based on personal data, and tell stores directly that face scanning and personalized prices will lose your business.
- Starve the data. The less they know about you, the less precisely they can price you.
This is one more case of a single issue that runs straight back to technology and data. If you have seen this in the wild, a receipt that did not match the shelf, an app price that differed from the in-store price, a documented case from a store or industry I did not mention, post it below with a source. The point is to build a clear, verifiable picture together, and to make sure none of us is paying a personal tax for being watched.