McDonald's Deploys AI Pricing Engine Across U.S. Restaurants
McDonald's is using a proprietary AI pricing engine to optimize menu costs, leading to price variations and friction with franchisees over corporate compliance.
McDonald's has implemented a proprietary AI pricing engine across nearly 14,000 restaurants, primarily in the United States, to determine the optimal price for menu items. Developed in partnership with Tiger Analytics, the system uses machine-learning algorithms to analyze millions of transactions and estimate customer willingness to pay. This has resulted in significant price variations for the same products between nearby locations.
While the company describes the system as a tool for recommendations rather than a mandate, franchisees report corporate pressure to comply. CEO Chris Kempczinski has informed investors that pricing non-compliance is now factored into business reviews of store owners. Some franchisees have expressed frustration over rising operational costs and the rigidity of the system, with one Connecticut franchisee filing a lawsuit after the tool suggested charging approximately $18 for a Big Mac meal.
The strategy has raised potential antitrust concerns, as the company's own terms of service suggest franchisees may be viewed as competitors. Former franchisees have claimed that store owners have little choice but to follow the corporate recommendations to remain in good standing.