Design Of Customer Service System Based On Radio Frequency Identification Technology In Apparel Retailing Stores

By using database management technology and automatic recommendation technology, a Customer Service System based on Radio Frequency Identification Technology in Apparel Retailing Stores is designed according to actual demand of brand clothing stores, for the purpose of managing apparel retailing stores and improving customer service quality.The system hardware is made up of QR4401 UHF Fixed Reader, antenna, LED, computer and UHF passive tags. SQL Server is used for the data management of retailing clothing stores. Application software is developed in Visual Studio development platform by using C# language. Applications achieved are:tag maintenance, quick settlement, intelligent fitting rooms, VIP customer identification and automatic recommendation.First, according to the actual demand of clothing retail stores and its capability, the types of hardware devices are selected and purchased, database system and software architecture are designed. This paper then simulate system maintenance, and realize tag maintenance function; simulate shopping checkout, and realize quick settlement; simulate the scene of customer trying on clothes, and realize intelligent fitting room function; simulate loyalty customers'arrival, and realize customer identification and automatic greetings. Finally, a hybrid recommender is proposed in this paper, it is triggered to generate a personalized buying recommendation list when a loyalty customer who holds a RFID-circuit-embedded VIP card arrives at the store. The experimental results show that the selected recommender items are in consistence with the objective customers'interest, the relevance between the select recommender items and objective customers' consumer preference can fit very well.The Customer Service System Project based on Radio Frequency Identification Technology in Apparel Retailing Stores is funded by Digital Textile and Apparel Technology Engineering Center, of the Minister of Education. Creative parts in the designed system are as follows:RFID-circuit embedded VIP cards are engaged to identify VIP customers for their arrivals, hence automatic greeting could be offered to these customers.Automatic personalized recommendation is creatively applied for VIP customers, by using the indentified identity information of VIP customers. A hybrid recommender is proposed, which could generate personalized recommender list to the VIP customers. Particularly, using the item-based filter algorithm, the products that have high similarity with those VIP members have bought recently are selected into the initial recommender list; using the user-based filter algorithm, the products that other VIP members who have the same tastes with the objective customer have chosen recently are added into the initial recommender. Finally, contented-based recommender algorithm is engaged to generate the final recommender list.