The Best AI Technology for Restaurants to Drive More Revenue
Richard and Maurice McDonald opened their first restaurant in San Bernardino in 1955 – with a focus NOT on burgers and fries – but rather on slow-cooked hickory barbecue. Instead of indoor dining, they had a few stools at the counter and offered carhop service to the increasingly mobile masses.
When they realized 80% of their sales came from hamburgers, and drive-in competition was exploding, they rethought their strategy. They streamlined their menu and offered fewer choices. “Our whole concept was based on speed, lower prices and volume,’?Richard McDonald said. Taking a cue from Henry Ford’s assembly-line production of automobiles, the McDonald brothers developed the ‘Speedee Service System’ and mechanized the kitchen of their roadside burger shack.”
Today, McDonald’s serves 69 million people every day and continues to lead the (ever-growing) fast food competition. Clever marketing and adapting to changing tastes and trends certainly play a part in remaining competitive but the real secret to their success is not in a special sauce, any one celebrity endorsement, or launching a TikTok challenge. It’s McDonald’s unwavering commitment to their original strategy: quick service and high throughput.??
Rivaling the fast food giant may feel intimidating but the good news is focusing on speed of service and improving operational efficiency has never been easier. Why? Computer vision.?
Computer vision is the only tech solution that provides real-time, actionable, visual data. With these insights, restaurants gain unprecedented information about order fulfillment and processes to maximize efficiency and drive more revenue.
What is Computer Vision?
Computer vision interprets the physical world by leveraging your existing cameras alongside edge devices or the cloud. Computer vision allows cameras to detect people, objects, or events in real-time to monitor beyond what your hired staff can see...
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