‘Optimal Price’: McDonald’s Pushes Franchisees Toward A.I. Pricing
Trending Topics Jakob Steinschaden
McDonald’s is using A.I. to set prices by location, and franchisees say the pressure is real. That’s pushing the fast-food chain closer to personalized pricing, the sort regulators are already eyeing.
Based on reporting by Trending Topics, Jakob Steinschaden — read the original for the full story.
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McDonald’s is letting a machine help decide what a Big Mac should cost, and the answer can change from one store to the next. Reuters says the chain uses a machine-learning pricing system that sifts through millions of daily transactions across nearly 14,000 restaurants, then calculates what it calls the “optimal price” for each item at each location. It also looks at rival prices at Wendy’s and Burger King.
The differences can get blunt. In Fresno, California, Reuters found one restaurant charging $5.69 for a Big Mac and another, about two miles away, charging $6.89. That is a 21 percent gap. On the franchisee portal, labels such as “MEDIUM SENSITIVITY to Price” tie the recommendation to “customer willingness to pay in your area,” according to Engadget.
McDonald’s says none of this is new in the broad sense. Reuters reported that the company has used an A.I. pricing tool since at least 2019 in the U.S. and in some global markets. What has changed is the pressure around it: since January, franchisees have been told to engage “constructively” with the company’s pricing consultant and tools. Five operators told Reuters they felt pushed to use them, and said the system widened existing price gaps.
The company is pushing back hard. It calls the portal “a tool, not a mandate,” says franchisees can still set the final price, and dismissed Reuters’ reporting as “speculative and uninformed.” The reports also do not show McDonald’s using individualized prices for each customer, such as through its app. This is location-based pricing, not a personal shopping profile with fries on the side.
Still, McDonald’s is hardly alone. Wendy’s backed away from surge-pricing talk after backlash. Delta uses A.I. from Fetcherr for part of its domestic fares. Instacart ended price tests after an FTC investigation, and Seattle just banned A.I. pricing based on personal data in grocery stores. The pattern is pretty clear: companies call it optimization, consumers hear “pay more if you look rich,” and regulators start sharpening their pencils.
My take — AI-written commentary, not fact-checked reporting
McDonald’s is doing the classic corporate thing: renaming price discrimination as clever software and hoping people applaud the efficiency. The bigger tell is the scramble from regulators in New York, Maryland, Seattle, and now the EU discussion around the Digital Fairness Act. If a company wants algorithmic pricing, fine — but the second it stops being boring and starts smelling like profiling, the public usually notices.
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