ClusterSense helps carry out client segmentation by grouping retail sales points according to their purchasing behavior patterns. Thanks to the analysis of purchase data from invoices, both from external distributors and from own systems, ClusterSense allows analyzing which products are most often ordered at a given sales point. Artificial intelligence and machine learning algorithms automatically analyze the sales history at each point and create segmentation based on similarities in purchasing patterns. This process is fast and precise and includes dependencies that may be overlooked by humans. ClusterSense also suggests recommendations for offers and promotions tailored to the preferences of individual segments.