McDonald's has implemented artificial intelligence to dynamically price its menu items in the US and certain global markets. This system aims to determine an "optimal price" by estimating what customers at a specific store location are willing to pay for items.
The AI-driven pricing results in varying costs for the same items across different locations, even within the same city. An interface reviewed by Reuters indicates "customer willingness to pay in your area" and assigns a "sensitivity to price" rating to each restaurant. For example, a Big Mac was found to cost $5.69 at one Fresno, California store and $6.89 at another two miles away, representing a 21 percent difference.
While McDonald's states franchisees can set their own prices, some store owners report corporate pressure to use the AI tools. Internal documents show McDonald's tracks franchisee adherence to the pricing platform and notes deviations from algorithm recommendations. The company has also begun requiring franchisees to engage with "McDonald's approved Pricing Consultant and Tools" as part of new business standards, and corporate communications indicate AI pricing guidance is sent at least three times annually. Former store owners have described calls from corporate after not following recommendations, and CEO Chris Kempczinski stated that "pricing non-compliance" is part of contract renewal discussions.
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McDonald's is reportedly using AI to dynamically price menu items, adjusting costs based on estimated customer willingness to pay at each location. This system can lead to significant price differences for the same item between nearby stores, and franchisees report pressure to adopt the AI's recommendations.