Data has long been regarded as an asset, but one restaurant chain used AI to put tens of thousands of recipe records to work, creating a new business that automatically generates meal plans based on individual requirements and determines the optimal process for cooking multiple dishes at the same time.
Data accumulates as a business continues to operate, but that data does not necessarily generate revenue on its own. One restaurant chain had allowed its years of accumulated, professional-grade recipe data to lie dormant because it was unable to put it to use.
The company classified tens of thousands of recipe records by cuisine category and developed a system that uses AI to automatically create meal plans based on nutritional assessment criteria. It offers personalized meal plans for several days, tailored to detailed requirements such as exercise habits, low-sodium needs, disliked ingredients, sex, body weight and body fat percentage.
AI determines not only the meal plans but also the optimal process for preparing multiple dishes at the same time. For example, when preparing 3 dishes simultaneously using 4 burners and 1 oven, it breaks the cooking process down into individual steps and creates a sequence for parallel cooking.
The article reports on the process of turning data into a new business and identifies the implementation of AI-based meal-plan optimization and concurrent cooking as the main developments.