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McDonald’s Uses AI to Recommend Different Prices by Restaurant

Regulators view the portal as a possible antitrust risk after franchisees reported pressure to follow its recommendations.

Overview

  • The Reuters report published on Sept. 29, 2026, showed screenshots and price checks that link a machine‑learning pricing portal to large price gaps for identical items at nearby stores.
  • The portal analyzes millions of transactions and labels locations by local “customer willingness to pay” to generate restaurant‑level recommended prices.
  • McDonald’s says franchisees retain final price authority and calls the system advisory, though the company has required owners to “constructively engage” with approved pricing tools since January.
  • Multiple franchisees told reporters they felt pressured to accept the recommendations and company records track when owners deviate from suggested prices.
  • Regulators are scrutinizing algorithmic pricing for antitrust risks, a franchisee lawsuit over a prior high‑price incident is active, and there is no confirmed rollout of the same U.S. pricing system to India.