Taco Bell put voice AI into roughly 500 drive-thru locations. Then it found the technology has real limits: it underperforms during peak hours. The company’s digital chief now says the answer depends on the restaurant. Sometimes use it, sometimes monitor it closely.
Peak hours are when a drive-thru earns its money. A tool that works at 2 p.m. on a Tuesday and struggles at the lunch rush has failed at the one moment that counts. Any pilot that doesn’t see peak load can’t tell you what peak load does.
This applies well beyond restaurants. Plenty of AI pilots get proven in the calm: a normal shift, clean data, a short list of products, the experienced people watching it. Then the tool meets a changeover, a holiday volume spike, a new SKU or a short-staffed night, and that’s when you learn what you actually bought.
A real pilot is designed to stress the tool. Run it on your worst shift, your messiest data and your busiest week, and run the manual process alongside it until the two agree. If it can’t hold up there, you’ve learned something valuable for the cost of one pilot instead of five hundred rollouts.
So what — was your last AI pilot tested on a typical day or on your hardest one? Now what — pick the toughest condition your operation faces and make it a required part of the next pilot.
Source: Restaurant Business, “Restaurant AI gets a much-needed reality check”
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