AI in Food Service has the greatest effect where quantities and people are decided on daily. The first use is footfall prediction based on historical sales, day of the week, weather and nearby events, which determines both ingredient ordering and the shift plan. The second is optimisation of staff scheduling, which represents a noticeable saving in an industry with high turnover and overtime. The third is tracking food costs by comparing recipes, ingredient prices and actual consumption, which reveals waste as well as portioning errors. In addition, it helps with processing reservations, answering repeated questions outside opening hours, and working with reviews. The condition is that the establishment has usable data from its point-of-sale system – without it, prediction remains a guess.
See also: AI use case, Seasonality of demand, Online review management.
