The next step is looking at analytics for what to produce and when John Egnor FCSI


ON THE FLIP SIDE AI and robotics are increasingly finding applications behind the counter as well, reshaping kitchen workflows to be more efficient and consistent. Robotic food preparation is already happening. Te Flippy robot from Miso Robotics, for example – used in 15 White Castle restaurants and several other chains – automatically flips burgers and cleans the grill. AI is finding its way into quality


control and safety as well, using data from sensors and camera systems to ensure consistent cooking temperatures and detect anomalies. AI-powered predictive analytics can also optimize inventory by forecasting demand based on historical data of what sells and when, leading to less waste and more efficient ordering processes. Although foodservice


operations outside the QSR sector may not be interested in robotic preparation systems – such as Sweetgreen’s Infinite Kitchen, which automates salad assembly to save time – the personalization and inventory management capabilities of AI could be a better fit. Egnor firmly believes that AI


will find its place in foodservice in the not-too-distant future: “It will be a tool to control the production of menu items, with cues, with direction, and knowing the history of a product. If a McDonald’s usually serves 300


hamburgers at lunch time, then AI can queue the preparation process early enough for them to be ready in time.” It will also be able to make


decisions based on more nuanced information. “You can add in other data, such as weather information or local news reports, which will affect the number of orders,” he adds. “Tat level of integration of situational knowledge to control inventory and production schedules can save on waste. So, the next step is looking at analytics for what to produce and when.”


12 Aliworld


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