In this paper, we visualized and predicted customer information and accounting information included in ID-POS data of the hair salon chain. Our purpose was to increase the number of repeat customers. 　We described our software developed for the purpose and its results. We grasped trends of customer information and accounting information by visualizing the ID-POS data. As the results, we grouped the customers. The group to which customers belong is predicted from their accounting information. Specific products were recommended to one group of customers, while the next visiting dates were predicted for another group of customers. We predicted customer groups using deep learning, and searched recommended products using collaborative filtering, respectively.