Over the last seven months, McDonald’s has spent hundreds of millions of dollars to acquire technology companies that specialize in artificial intelligence and machine learning. And the fast-food chain has even established a new tech hub in the heart of Silicon Valley — the McD Tech Labs — where a team of engineers and data scientists is working on voice-recognition software.
The goal? To turn McDonald’s, a chain better known for supersized portions than for supercomputers, into a saltier, greasier version of Amazon.
As fast-food sales decline across the increasingly competitive restaurant industry, McDonald’s is looking for new ways to lure customers. On Tuesday, the chain said same-store sales in the United States were weaker than expected for the third quarter, sending shares lower.
But in the coming years, the company’s machine learning technology could change how consumers decide what to eat — and, in a potentially ominous development for their waistlines, make them eat more.
So far, the technological advances can be experienced mostly at the chain’s thousands of drive-throughs, where for years menu boards have displayed a familiar array of McDonald’s favorites: Big Macs, Quarter Pounders, Chicken McNuggets.
Now, the chain has digital boards programmed to market that food more strategically, taking into account such factors as the time of day, the weather, the popularity of certain menu items and the length of the wait. On a hot afternoon, for example, the board might promote soda rather than coffee. At the conclusion of every transaction, screens now display a list of recommendations, nudging customers to order more.
At some drive-throughs, McDonald’s has tested technology that can recognize license-plate numbers, allowing the company to tailor a list of suggested purchases to a customer’s previous orders, as long as the person agrees to sign away the data.
“You just grow to expect that in other parts of your life. Why should it be different when you’re ordering at McDonald’s?” said Daniel Henry, the chain’s chief information officer. “We don’t think food should be any different than what you buy on Amazon.”
As the evolution of the McDonald’s drive-through shows, the internet shopping experience, with its recommendation algorithms and personalization, is increasingly shaping the world of brick-and-mortar retail, as restaurants, clothing stores, supermarkets and other businesses use new technology to collect consumer data and then deploy that information to encourage more spending.
At some stores, Bluetooth devices now track shoppers’ movements, allowing companies to send texts and emails recommending products that customers lingered over but did not buy. And a number of retailers are experimenting with facial-recognition tools and other technologies — sometimes known as “offline cookies” — that allow businesses to gather information about customers even when they are away from their computers.
In the restaurant world, the increasingly popular food-delivery apps have produced a slew of customer data. But much of that information is controlled by third-party technology companies rather than by the restaurants themselves, underlining the importance of tech expertise as the industry grows more competitive.
“A lot of the restaurant chains, the larger ones that have the cash and the clout and the depth, are really turning into quasi-technology companies,” said Michael Atkinson, who runs Orderscape, a company that provides voice-ordering technology. “All of them have that ambition.”