TREE NEWS reports: McDonald’s is using machine-learning models to set an ‘optimal price’ for each menu item at each restaurant, widening the price gap between branches just two miles apart. The AI pricing engine gauges what customers are willing to pay for items such as a Big Mac, with per-item, per-location pricing now varying more sharply across nearby outlets.
McDonald’s AI Pricing Engine Tests What Diners Will Pay for a Big Mac
AI take
This marks a shift in how consumer-facing brands deploy AI: not for supply chains or drive-thru automation, but for granular price discovery at the individual store level. The practical effect is that a familiar, standardized product like a Big Mac no longer carries a predictable price, which complicates consumer expectations and makes cross-location comparison harder. The open question is whether such per-item, per-location pricing becomes a durable norm in quick-service dining or triggers enough customer friction to be walked back.
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