Using Artificial Intelligence to Forecast Consumer Trends in Food Consumption
Nancy Pahwa, Kritika Gupta · 2025
Artificial intelligence (AI) has become an effective tool for trend analysis, forecasting, and anticipating future food consumption patterns. This paper concerns the use of artificial intelligence (AI) technologies, mostly system mastering (ML) and deep studying (DL), for predicting consumer patterns in food consumption. AI models are capable of sifting through vast amounts of data from different sources, including social networks, healthcare applications, retail outlets, and ecological data. It gives them the opportunity to facilitate understanding of the variables defining the food choices in an accurate and complex way. More accurate than traditional methods of forecasting, artificial intelligence (AI) can recognize patterns, learn meaningful information and predict future trends. The application of artificial intelligence (AI) in the prediction of food trends does not only enhance the accuracy of prediction but also provides companies with timely and accurate information which is crucial within the dynamic market.