| 摘要 |
The present invention relates to a method of recommending products which are most suitable for a member store by using a product recommending server. Particularly, the present invention relates to a method of recommending products which are most suitable for a member store by receiving information about sales volume of each product sold in each store from a POS terminal placed in each member store and by using information about the popularity of each product, computed by big data images of the products. |
