Revolutionizing Food and Drink Industry: AI Models Predict Consumer Preferences with Accuracy

How AI has the potential to revolutionize beer making

These models have the potential to revolutionize the way food and drink manufacturers create new products and improve existing recipes. By using AI technology, companies could save significant time and money that would have been spent on running trials to determine consumer preferences.

To develop these models, researchers spent five years analyzing the chemical composition of 250 commercial beers. By measuring a beer’s chemical properties and flavor compounds, researchers were able to understand how these factors influence the overall taste of the beer. This knowledge allowed them to create machine-learning models that can predict a beer’s taste, smell, mouthfeel, and consumer rating accurately.

The integration of chemical data with sensory features enabled researchers to create models that could accurately determine how a consumer would perceive a beer and how likely they would be to rate it highly. This advancement in AI technology has the potential to transform the way food and drink products are developed and marketed in the future.

Researchers combined this chemical analysis with assessments from a trained tasting panel and over 180,000 reviews from RateBeer, an online platform for beer enthusiasts. This extensive data set was used to train 10 machine-learning models to predict a beer’s taste, smell, mouthfeel, and consumer rating accurately. The use of such advanced technology can help companies make better decisions about their product development process while saving time and money in trial processes.

Leave a Reply