Cluster analysis of customers behavior

This article describes the problem of complexity of the analysis of customer orders. Clustering and classification algorithms were applied to examine the taste preferences of clients. Clusters are based on the sales history of products created by the customers by their own recipes. The classification model is taught by cluster marks. The result is a model showing the taste preferences of buyers and changes with the introduction of a new product