Korea Database

and avoid unnecessary costs due to excess goods. One example of this is the use of AI at Starbucks, which uses data analysis and AI algorithms to make predictions about the optimal inventory. Staff deployment planning: In the catering industry in particular, capacity utilization fluctuates greatly depending on australia phone data the time of day, day of the week or time of year. Here, AI can support precise shift planning by calculating staff requirements for certain times based on historical data. This avoids overstaffing or understaffing and at the same time increases employee satisfaction. Customer satisfaction: AI-driven feedback systems can analyze customer opinions in real time and identify trends. For example, an AI could automatically evaluate reviews from review portals such as Yelp or Google and identify weak points in the service. This way, you can react quickly and improve the service before dissatisfaction becomes greater. Reduce food waste with AI: AI can help reduce food waste, and not just in zero-waste restaurants , by analyzing data on ingredient consumption and waste. Intelligent systems monitor orders, inventory levels, and actual food usage to make accurate forecasts and thus avoid overproduction.

Swiss startup Kitro and British company Winnow use AI-controlled sensors and cameras to analyze food waste in restaurants and make suggestions for reducing it. Spotting trends with AI: AI can help identify current and future food trends by analyzing large amounts of data from social media, online recipes, and restaurant reviews. This gives restaurateurs valuable insights into emerging preferences and allows them to adapt their menus accordingly. One example of this is the Israeli startup Tastewise, which uses AI to analyze data on eating habits and preferences in real time. AI support for restaurants in everyday life In the hectic everyday life of a restaurant business, administrative tasks can quickly become a burden. This is where artificial intelligence comes into play: It acts as a digital assistant that automates a variety of tasks and thus saves valuable time. For example, AI software helps to create accurate forecasts for product consumption. The startup Delicious Data, for example, uses AI to predict sales based on large amounts of data and thus optimize planning. Another example is METRO Gastro Consulting , which uses AI to analyze its customers' menus. The software identifies dishes with a particularly high contribution margin and suggests how these can be placed along a psychological reading curve.