Management of marketing activities based on artificial intelligence in grain and flour manufacturing enterprises
Abstract
. This article examines the theoretical and practical aspects of managing marketing activities in grain and flour production enterprises based on artificial intelligence technologies. The study analyzes the possibilities of forecasting demand, segmenting customers, optimizing pricing policy, and automating marketing decisions through the use of artificial intelligence algorithms in marketing processes. As a result of the analysis, it was found that marketing systems managed on the basis of artificial intelligence significantly increase the return on marketing investments, conversion rate, and accuracy of demand forecasts. The results of the study are enriched with practical proposals aimed at strengthening the competitiveness of grain and flour production enterprises and improving the effectiveness of marketing activities.