| 摘要 |
<p>A computer-implemented method including obtaining, over a network by an analysis server and from an analyzer terminal, a request to analyze sales information associated with customers regarding product purchases made by the customers, obtaining, over the network by the analysis server and from a point of sale (POS) server, the sales information and storing the sales information in a database, determining, by the analysis server, product purchase rates per product group for each of the customers using the sales information, storing, by the analysis server, customer count data that indicates the product purchase rates per product group for each of the customers, clustering, by the analysis server, the customers into multiple customer lifestyle segments based at least on similarities between the product purchase rates per product group for the customers, calculating, by the analysis server, product purchase rates per product group for the multiple customer lifestyle segments, calculating, by the analysis server, a characteristic factor representing a correlation between a product characteristic and a customer characteristic based or the customer lifestyle segments and the calculated product purchase rates, storing the characteristic factor in the database in association with at least one product and at least one customer lifestyle segment, obtaining a target customer lifestyle segment of the multiple customer lifestyle segments, and providing an indication of a product or product group that matches the target customer lifestyle segment based at least on the stored characteristic factor associated with the obtained target customer lifestyle segment. 20-1 20-n tx POS +1 -( W9 -t</p> |
