YPO Technology Network AI Brief
Sep 30, 2026 · 10 min · 9 segments
Reuters reported on 29 September that McDonald's runs a pricing engine that analyzes millions of daily transactions across nearly 14,000 restaurants and generates what the company calls "the optimal…
Reuters published an investigation yesterday into how McDonald's prices its menu.
In Reuters' words, it uses machine learning algorithms to continually analyze data from millions of daily transactions across nearly fourteen thousand restaurants.
From that, it generates what the company calls the optimal price at each location for each menu item, from Big Macs to discounted coffee for seniors.
It tells the owner things like, "Your restaurant is showing medium sensitivity to price based in part on customer willingness to pay in your area." It also carries the posted prices at the Wendy's and the Burger King down the road.
A company-run McDonald's in Fresno, California, sells a Big Mac for five dollars sixty-nine.
Another company-run McDonald's two miles away sells the same sandwich for six dollars eighty-nine.
Twenty-one percent more for the same burger in the same city from the same owner.
Reuters could not confirm whether the engine caused that gap or something else did, so I will not claim it either.
Now, the franchisees who own most of the restaurants, the recommendations go out at least three times a year.
Five owners told Reuters they were pressured to follow them, including phone calls from corporate when they did not.
A McDonald's document from June shows the company tracks deviations from the recommendations in detail.
A former owner named Karen King put it in one sentence: "You don't really have much of a choice anymore." And one more line from the portal's own terms of use.
It warns the owners that they may be competitors of each other and that they must comply fully with antitrust and competition laws.
The portal is a tool, not a mandate, designed to provide restaurant-specific recommendations, and the reporting is speculative and uninformed.
A tool that is recommended, tracked, and followed up with a phone call is still a tool.
Reuters published an investigation yesterday into how McDonald's prices its menu.
In Reuters' words, it uses machine learning algorithms to continually analyze data from millions of daily transactions across nearly fourteen thousand restaurants.
From that, it generates what the company calls the optimal price at each location for each menu item, from Big Macs to discounted coffee for seniors.
It tells the owner things like, "Your restaurant is showing medium sensitivity to price based in part on customer willingness to pay in your area." It also carries the posted prices at the Wendy's and the Burger King down the road.
A company-run McDonald's in Fresno, California, sells a Big Mac for five dollars sixty-nine.
Another company-run McDonald's two miles away sells the same sandwich for six dollars eighty-nine.
Twenty-one percent more for the same burger in the same city from the same owner.
Reuters could not confirm whether the engine caused that gap or something else did, so I will not claim it either.
Now, the franchisees who own most of the restaurants, the recommendations go out at least three times a year.
Five owners told Reuters they were pressured to follow them, including phone calls from corporate when they did not.
A McDonald's document from June shows the company tracks deviations from the recommendations in detail.
A former owner named Karen King put it in one sentence: "You don't really have much of a choice anymore." And one more line from the portal's own terms of use.
It warns the owners that they may be competitors of each other and that they must comply fully with antitrust and competition laws.
The portal is a tool, not a mandate, designed to provide restaurant-specific recommendations, and the reporting is speculative and uninformed.
A tool that is recommended, tracked, and followed up with a phone call is still a tool.
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