McDonald’s reportedly is experimenting with facial recognition technology in its drive-thrus.

The report follows the fast food chain announcing it would deploy artificial intelligence at 43,000 locations.

Fast Food Chain To Utilize Artificial Intelligence At 40,000+ Locations

Per WCNC:

They are also experimenting with voice activated drive-thrus and facial recognition to make sure your order is accurate before its handed over.

AI will also help them with tailored promotions by analyzing prior purchases and even weather trends so you could see a deal on the app for a sweet treat on a hot day.

The rollout started in 2024 but the cost of the changes could mean a slow rollout of the technology at the restaurants.

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From Inc.:

Last month, McDonald’s CEO Chris Kempczinski took to Instagram to predict accelerated AI use would be one of the three main focuses of fast-food businesses in 2025. (The other two were decidedly lower-tech “proteins” and “sauces.”) This week, the company’s chief information officer Brian Rice provided more details behind that forecast, telling the Wall Street Journal about what the Golden Arches’ deployment of AI would involve, and the improvements it would seek to attain. While customers will ultimately be the biggest beneficiaries of those benefits, staff at the chain’s 43,000 locations will be the first served.

“Our restaurants, frankly, can be very stressful,” Rice told the paper. “We have customers at the counter, we have customers at our drive-through, couriers coming in for delivery, delivery at curbside. That’s a lot to deal with for our crew. Technology solutions will alleviate the stress.”

Along with that, of course, the global fast-food giant will look to improve customer experience by introducing AI to allow drive-through, kiosk, and app tech serve visitor more effectively. Behind the counter, meanwhile, McDonald’s plans to use AI to ease numerous in-store challenges.

Those include connecting kitchen equipment to the internet, and outfitting them with sensors providing real-time data feeds that the generative apps will analyze and respond to. As it does, the tech will alert staff to machines showing signs of excessive wear, in growing need of maintenance, or even nearing breakdown. They’ll similarly ensure continually updated monitoring of supplies to help restaurants avoid running out of any best-selling items.

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