Sales management with market cart analysis in e-commerce

The main purpose of the study is to investigate the connections between the products purchased with the help of data mining and thus to create the right sales strategies in the adaptation of the new world environment and the commercial life to the internet. In this research, a dataset containing a total of 95912 data from December 2018 to December 2021 (3 years) from a medium-sized online jewelry store from Kaggle was used. First of all, a preprocessing of the data was made, the problems were found and eliminated, and the data set was made ready for analysis. Frequent product sets and association rules were found from the data set. In addition, using the time feature in the data set, the order of purchase of the products was determined with the help of the generalized order feature. As a result of all these inferences, information that plays an important role in determining product and user-oriented sales strategies for marketing departments has been compiled.