Trends
A FUTURE OF AI-ENABLED AUTOMATION For Egnor, robotics is not yet where AI needs it to be. Consequently, the first game- changing application of AI is likely to come through its role as a forecasting tool, with more applications soon to follow. Front-of-house applications
such as voice ordering will continue to evolve as advanced voice AI capability improves, and by leveraging big data – social media, loyalty programs, dietary preferences and more – AI might usher in the age of hyper-personalization. In the kitchen, higher levels
of automation will arrive, reducing human intervention to a minimum. Smart kitchens with digital twins could, according to Egnor, use AI to simulate and optimize workflows to create better kitchen plans, predict equipment failure, adjust cooking parameters in real time, and potentially reduce energy consumption by around 20%. Stefano Raimondi, R&D
Director at Rancilio Group, believes AI will also have an impact on beverages, and Rancilio is among the manufacturers engaging in the development of equipment with integrated AI functionality.
“AI can simplify the search
of technical documents if there is an error with a machine, or optimize the parameters of the recipe, or recognize a barista in front of the machine to change settings to their unique requirements,” he says.
AI will be used to simplify life for the technical team, providing more support for technicians Stefano Raimondi, Rancilio Group
“Te state of the art is a
system that can summarize information from hundreds of documents. Te problem used to be finding the data, but with IoT we now have too much data, so we need to address the problem of analyzing it,” adds Raimondi.
SHARED EXPERIENCE “AI will be used to simplify life for the technical team, providing more support for technicians who don’t necessarily understand coffee,” adds Raimondi. “We could use a generic technician for dishwashers and coffee machines, for example, because we could move the relevant knowledge from a person to an AI system.” Meanwhile, forecasting order
patterns using big data is as relevant to beverages as it is to food preparation. Raimondi foresees a time when AI is used to propose alternative recipes according to the time of day. “AI could help operators create something closer to individuals’ needs – more personalized and customized – through integration of data and by face recognition,” he says. He also believes AI will be
used to simplify settings, improve consistency in automatic machines with grinders inside, and optimize recipe configuration. In the early days, adoption of
AI could raise concerns about cost, scalability, and the need for a human element in dining. Over time, however, it will become part of the fabric of foodservice. “When chefs see what it can
do, they say: ‘Wow, where was this all my life?’” says Alfieri. “My team probably feeds 15- 20,000 people per day in various locations, and I use AI for two or three hours per day to evaluate standard operating procedures,
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safety protocols, and food trends, and to create financial forecasts and budgets. It is a useful tool if you know what to ask it.”
When chefs
see what [AI] can do, they say: ‘Wow, where was this all my life?' Joseph Alfieri, Bon Appetit
Tere remain many unknowns
when it comes to AI and its limitations – and how to best apply its capabilities. However, while it is not yet baked into kitchen appliances, it is certainly defining the next wave of kitchen planning, workflow design, and forecasting. Te one thing you cannot do with AI is ignore it. ■
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