A Store Management System for the Improvement of Shopping Process of Omni-shoppers of Fast Fashion Brand

Abstract

'Omni-shopper' typically decides to buy after getting information through online channels and then visit offline stores to directly experience. Therefore, offline stores should be transformed into hands-on stores that fit the latest trends in user's buying pattern. The Fast Fashion brand requires a large store because there are various types of products, and omni-shopper finds the product they prefer, verify it in the store where various product lines are displayed and uses the fitting room to find the products they want. However, in the course of actual store use, the purchasing process is delayed due to the reasons such as environmental characteristics of large stores and the queues due to the lack of fitting rooms. To solve the above problems, a store management system is required to provide real-time information about the situation that may occur in offline stores to omni-shoppers as well as employees. In this paper, we propose a store management system for improving the shopping process of omni-shoppers of SPA brands. The proposed system provides information on inventory and display location of real-time products, as well as the fitting room reservation management for offline stores with WebApp. Through the proposed system, we can anticipate the effect of improving the entire shopping process by reducing queues at the fitting area, identifying the quantity of products to wear and reducing the shopping delay caused by congestion in the fitting area. To validate the proposed system, the experiment confirmed that Arena simulations improved the time required for the shopping process to 15.7% over the previous one.