After getting a taste of success in multiple fields, AI is now targeting a full table of food services.
The food services industry might seem an unlikely candidate for AI adoption, yet the market, which includes full-service restaurants, quick-service restaurants, catering companies, coffee shops, private chefs, and a variety of other participants, is rapidly recognizing AI’s immediate and long-term potential.
AI in food services is poised for widespread adoption, predicts Colin Dowd, industry strategy senior manager at Armanino, an accounting and consulting firm. “As customer expectations shift, companies will be forced to meet their demands through AI solutions that are similar to their competitors,” he notes in an email interview.
Mike Kostyo, a vice president with food industry consulting firm Menu Matters, agrees. “It’s hard to think of any facet of the food industry that isn’t being transformed by AI,” he observes via email. Kostyo says his research shows that consumers want lower costs –making it easier to customize or personalize a meal — and faster service. “We tell our clients they should focus on those benefits and make sure they’re clear to consumers when they implement new AI technologies.”
Seeking Insights
On the research side, AI is being used to make sense out of the data deluge firms currently face. “Food companies are drowning in research and data, both from their own sources, such as sales data and loyalty programs, and from secondary sources,” Kostyo says. “It’s just not feasible for a human to wade through all of that data, so today’s companies use AI to sift through it all, make connections, and develop recommendations.”
AI can, for example, detect that spicy beverages are starting to catch on when paired with a particular flavor. “So, it may recommend building that combination into a new menu option or product,” Kostyo says. It can do this constantly over time, taking into account billions of data points, creating innovation starting positions. “The team can take it from there, filling their pipeline with relevant products and menu items.”
Data collected from multiple sources can also be used to track customer preferences, providing early insights on emerging flavor trends. “For example, Campbell’s and Coca-Cola are currently using AI in tandem with food scientists to create new and exciting flavors and dishes for their customers based on insights collected from both internal and external data sources,” Dowd says. “This approach can also be applied to restaurants and other locations that rely on recipes.”
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Source: https://www.informationweek.com/machine-learning-ai/how-ai-is-reshaping-the-food-services-industry
