MAY tea tester Andrey Skidan said the development of new tea recipes is a complex process that requires taking into account many factors, from taste preferences to the interaction of ingredients. Neural networks significantly speed up this process by analyzing large amounts of data on flavors and aromas, as well as predicting which combinations will be most popular in the future. For example, in recent years there has been an increase in interest in teas containing citrus, fruit and floral notes.
One of the key benefits of using AI is the ability to adapt to trends in real time. Neural networks not only help identify successful combinations, but also predict which flavors will be in demand in a year or two. This allows the company to create new products that will remain relevant for a long time, Skidan said.
Additionally, neural networks play an important role in the selection of natural ingredients. Algorithms help select eco-friendly ingredients, minimizing environmental impact. AI technologies also speed up the testing of new products by predicting how ingredients will interact and shape the final taste.
Source: Ferra
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