As the restaurant industry has embraced technologies to smooth out the ordering process, artificial intelligence has grabbed headlines, most recently in the form of a text-to-order tool from the software company HungerRush that promises not only faster ordering without the help of a restaurant app but also the near-elimination of order errors. The use of AI for ordering is in its early stages – existing applications focus more on its use in dynamic menus, inventory integration and consumer marketing – but it may represent where ordering is headed and what areas of improvement operators should focus on. As you analyze the data you collect from sales, how does your speed of processing orders now compare with what it looked like last month and last year? Are there common order errors that occur? Can you identify ways to minimize the amount of time your staff must spend processing orders while still ensuring they come out fast and error-free?
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