Examining online purchasing patterns through the utilization of a fuzzy inference system

Abstract

The last decade has seen an explosion in online shopping, and this trend is set to continue. Understanding consumer behavior and shopping habits is vital for online retailers, so we conducted our survey based on the Eurostat 2021 report and then created a fuzzy predictive model to analyze the results. The results can help retailers develop more effective marketing strategies, focusing on differences between age groups and geographical areas. The research provides deeper insights into consumer preferences by covering a broad spectrum of demographic characteristics. Our case study details the application of fuzzy inference, highlighting the complexity of customer preferences and helping retailers po