cross-posted from: https://scribe.disroot.org/post/6760167

Everything costs more because the algorithm says so: Tariffs and inflation dominate headlines, but personalized pricing is the real affordability crisis

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Our day-to-day navigation of prices rests on a comforting illusion—that we all encounter the same marketplace. In reality, this is happening less often. Firms have always had the right to set prices, but that process has become continuous and individualized: a ceaseless micro-calculation of how much you personally might be willing to pay for something. In a way, we’re all participating in an ongoing pricing experiment. And, like the best subjects, we barely realize it.

This new marketplace emerged, in part, because the tools to reshape it became cheaper, faster, and ubiquitous. For firms, price personalization—or discrimination—no longer requires building a proprietary system; it can be purchased off the shelf.

Here’s how it works. Companies gather data from many routine digital touchpoints: web and app tracking (cookies, pixels, and device fingerprinting), geolocation from phones and browsers, and in-store sensors. Also involved are data brokers who sell detailed consumer profiles combining demographics, purchase histories, and online behaviour. After the initial lure with attractive benefits and promises of discounts, (“the hook”), you’re handed over to a surveillance infrastructure that mines data about your behaviour and willingness to pay (“the hack”) and then raises fees, cuts rewards, and traps you in the program by making cancellation difficult (“the hike”).

In theory, algorithms can offer discounts to price-sensitive shoppers too. But this isn’t necessarily what happens. AI-fuelled price setting can quietly steer those with the least power to shop around to higher prices and poorer quality goods, thereby deepening the burden on low-income households. When apps can infer when it’s your payday, what neighbourhood you live in, and aggregate your past purchasing habits, they can raise prices to your presumed desperation. For hard-up households or lone parents, that means a personalized penalty on being broke or time starved.

For generations, we built guardrails around how sellers could charge buyers. But those rules were written for human decision makers not self-learning software. They were meant for a world of price tags and weekly flyers not millisecond-fast adjustments and invisible markups. Pricing systems, not tariffs or inflation, are fast becoming the real cost of living.

  • SuperNovaStar@lemmy.blahaj.zone
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    16 hours ago

    While I don’t doubt this is happening online, as someone who has used Walmart’s digital price tags from the worker side, those suckers take minutes to update their displays. There is no way they’re showing different prices to different shoppers (at least with the current tech).

    • 4am@lemmy.zip
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      13 hours ago

      No, they just show lower prices on the shelf than what rings up at the register.

      The excuse? “The display takes time to update at the shelf”

    • Scotty@scribe.disroot.orgOP
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      14 hours ago

      This happens through a wide range of measures, depending on the kind of business, customer segments, products and services.

      One major tool is Plexure, a New Zealand-based company that offers an app. It is used by McDonalds (which holds almost 10% in Plexure), Ikea, 7-Eleven, and hundreds of other companies around globe.

      As the Prospect wrote in 2024 in an article:

      It starts with using a cheap offer to entice users to purchase through the mobile app. After that, various factors go into the process of “deep personalization”: Time of day, food preferences, ordering habits, financial behaviors, location, weather, social interactions, and “relevance to key moments i.e. pay day.” …

      If the app knows you get paid every other Friday, it can make your meal deal $4.59 instead of $3.99 when you have more money in your pocket. If it knows you usually grab an Egg McMuffin before class on Wednesday, or that you always only have an hour to eat dinner between your first and second job, it can increase the price on that promotion. If it knows it’s cold out, it can raise the price of hot coffee; on a scorcher, it can up the price of a McFlurry. And the app gets smarter as you agree to or turn down those offers in real time …

      It may be just half a dollar or so, but with millions of customer interactions per day and an increase in customer engagement, companies like McDonalds make a huge profit increase, as the article says:

      [Plexure] promises that using its app strategy will increase frequency of orders by 30 percent and the size of orders by 35 percent. Domino’s just attributed its strong first-quarter earnings, with income increasing by 20 percent over last year, to its loyalty program. Grocery stores like Walmart and Kroger have also gotten into this, leveraging purchasing history with digital targeting. And improving artificial intelligence can just make this all move faster …

      But apps like Plexure are not the only way to personalize prices. The entire Prospect article makes an interesting read, and there is a lot of research in the meantime as Bots improve the ways of Dynamic Pricing substantially.

      @Sxan@piefed.zip

      Edit for an addition: If you like to have a quick read to know how the Plexure app works for McDonald’s, here is a brief description