McDonald's AI pricing tool sets different Big Mac prices for stores 2 miles apart

Why it matters: according to Reuters, the platform feeds on millions of daily transactions across McDonald's restaurants, plus scraped menu prices from nearby Wendy's and Burger King locations. One of the inputs it weighs most heavily is an estimate of a given store's customer price sensitivity, in plain terms, how much people nearby will tolerate paying before they go elsewhere.

McDonald's sends this AI-generated guidance to franchisees at least three times a year, according to company documents Reuters reviewed. The system shows franchise owners their store's estimated "customer willingness to pay" score alongside the recommended price.

• Data sources: millions of daily transactions, plus competitor pricing scraped from nearby locations.
• Output: a specific recommended price per menu item, per restaurant.
• Frequency: guidance sent to franchisees at least three times annually.

By the numbers: Reuters checked McDonald's mobile app prices in September and found one company-run Fresno restaurant selling a Big Mac for $5.69, while another company-run location just two miles away charged $6.89 for the identical sandwich, a 21% premium.

Reuters was careful to note it could not confirm the pricing engine specifically caused that particular gap. But the example illustrates exactly the kind of store-by-store variation the tool is designed to produce, and it wasn't the only outlier. One Connecticut franchisee told Reuters the system had suggested an $18 price for a single Big Mac at their location.

In real life if you've ever noticed a fast food price that felt oddly specific to your neighborhood, rather than your region or state, this is the kind of system that can produce exactly that effect.

McDonald's frames the pricing portal carefully. In a statement to Reuters, the company called it "a tool, not a mandate, designed to provide restaurant-specific recommendations to help franchisees deliver value for customers and make informed business decisions."

That framing doesn't match what several franchisees told Reuters. One former owner, Karen King, put it more bluntly: "You don't really have much of a choice anymore." Five other franchisees described various forms of pressure from the company, including phone calls from corporate officers specifically to discuss pricing whenever a location's prices strayed from the algorithm's recommendation.

The catch: McDonald's terms of service reportedly warn franchisees that they "may be competitors" and must independently comply with antitrust law. That language exists precisely because franchisees are legally required to set their own prices independently rather than coordinate with each other.

A pricing tool built and distributed by the parent company, tracking "adherence to the platform" across thousands of locations, sits in a genuinely uncomfortable spot relative to that requirement.

One franchisee has already filed a lawsuit against McDonald's alleging discrimination, though the full details of that claim go beyond the pricing system itself.

McDonald's pushed back hard on the reporting. The company dismissed Reuters' findings as "speculative and uninformed" and reiterated that franchisees remain "always free to determine final price."

What's next: that's a difficult position to fully verify either way. McDonald's franchise structure genuinely does leave final pricing authority with individual owners on paper, but a corporate-built recommendation engine that tracks compliance and prompts follow-up calls when owners deviate is a different kind of "optional" than most customers would assume from the word.

Background: roughly 95% of McDonald's restaurants worldwide are franchised, not corporate-owned, according to the company's own SEC filings. That structure is deliberate. McDonald's collects rent and royalties calculated as a percentage of each franchisee's sales, which means the company's own revenue rises and falls with how much franchisees actually charge and sell.

That gives corporate a direct financial stake in getting franchisee pricing right, even though it isn't the one setting final prices at the register. A pricing engine that nudges thousands of independently owned locations toward higher, better-optimized prices doesn't just help individual franchisees.

It flows straight back into McDonald's own royalty revenue, which helps explain why the company built the tool in the first place and why it keeps sending updated guidance multiple times a year.

McDonald's isn't the first chain to run into this exact controversy. Wendy's proposed a comparable dynamic pricing system in 2024 and walked it back almost immediately after intense public backlash, once customers understood it could mean paying more during peak hours for the same menu item. Instacart has faced similar criticism over algorithmic pricing on its platform.

The big picture: the difference in McDonald's case is that the variation isn't tied to time of day or demand spikes the way Wendy's proposal was. It's a persistent, location-based gap that can leave two stores in the same metro area charging meaningfully different prices for the same order, indefinitely, based on what the algorithm estimates that neighborhood will bear.

McDonald's has been building toward this for longer than the current backlash suggests. CEO Chris Kempczinski told investors back in 2023 that the company had developed proprietary tools for pricing individual restaurants, and Reuters reports some version of the system has been in place since at least 2019.

What's next: McDonald's isn't operating in a vacuum here. The Federal Trade Commission launched a broader "surveillance pricing" study in July 2024, sending formal information requests to eight companies about how they use personal data and algorithms to set individualized prices. The FTC's initial findings, published in January 2025, described exactly this pattern: the same product priced differently depending on a customer's location or other data the seller has collected.

Grocery delivery has already drawn regulatory fire over similar practices. A December 2025 Consumer Reports study found some retailers' prices on Instacart varied by as much as 23% for the same item depending on the customer, and Reuters reported the FTC sent Instacart a civil investigative demand over its algorithmic pricing software. California's attorney general opened a related investigation into personalized pricing in January 2026.

McDonald's pricing engine differs in one key respect: it varies by restaurant location rather than by individual customer profile. But it sits inside the same broader regulatory conversation about whether algorithmic tools are quietly replacing uniform pricing with something far less predictable for shoppers, one storefront at a time.