McDonald's push to have AI price your Big Mac

McDonald’s is rolling out an AI-driven pricing engine that analyzes millions of daily transactions across nearly 14,000 restaurants to generate “optimal prices” for each menu item at each location, using inputs like estimated customer willingness to pay and competitor menu data. The system produces location-specific recommendations and flags stores’ price sensitivity; it has widened price variation for identical items even within the same neighborhood, with app checks showing examples such as a Big Mac listed at $5.69 in one company-run store and $6.89 two miles away. The platform centralizes public competitor pricing and records franchisees’ deviations from recommended prices.

Franchisees report pressure to engage with the tools and new business standards require “constructive engagement” with approved pricing consultants; corporate documents also track “pricing non-compliance.” Headquarters profits from a percentage of systemwide revenue, which creates incentives to push lower, traffic-driving prices while franchisees face rising wages, rent and operating costs and therefore favor higher prices. Legal and reputational risks are front-and-center: portal terms warn users they “may be competitors,” courts and regulators are scrutinizing algorithmic pricing for facilitation of collusion, and one instance involved a recommendation that a Big Mac meal be priced at about $18 in a disputed franchise lawsuit. McDonald’s defends the engine as a recommendation designed to help franchisees and advance affordability.