Unveiling the Dynamics of Customer Shopping Trends Using Machine Learning Algorithm: A Comprehensive Analysis of Demographics, Purchase Behavior, and Payment Preferences

The present paper deeply investigates consumer shopping behaviour guided by the methods of machine learning. Having used the assessment of demographic parameters, purchase behaviour, and payment tendencies, this research comes up with deep-rooted consumer behaviour trends diversified across the various categories of consumer segments. The research includes an extensive database where advanced Artificial Intelligence technologies like clustering, classification, and forecasting are used to extract invaluable intelligence. The results underline certain differences in consumption patterns of clients belonging to the same demographic group which include people of different ages, genders, income levels, and geographical regions. The inclusion of machine learning technologies allows for gaining a supply of information about consumer behaviour that helps to make decisions wisely having sustainable development in the complex and competitive retail environment.