Complexity Analysis of Internet of Things RFID in the Management of Fast-Fashion Apparel Enterprises

Abstract

Fast fashion is a clothing sales model. With people's demand for rapid updates on clothing, the fast-fashion clothing industry has emerged and developed rapidly. It has been widely operated in developing and developed countries and has been widely recognized by consumers. In order to analyze the current situation of Chinese fast-fashion industry and the differences with foreign brands, this article applies radio frequency identification (RFID) technology to the entire process of fast-fashion apparel business management. In terms of experimental methods, this study uses a combination of qualitative and quantitative methods, questionnaire surveys, and comparative analysis, and introduces the relevant theories of the clothing industry. In the experimental design, the three aspects of operating cost, implementation cost, and profitability in enterprise management are designed. The analysis part selected several major fast-fashion brands, such as Zara, Uniqlo, GAP, and Hstyle, for comparative analysis, business management analysis, product update cycle analysis, driving factor analysis, and consumer choice analysis, and other parts of the complexity analysis. With the abovementioned analysis, it concludes that consumer recognition of Chinese fast-growing fashion products is only 62%, while recognition and stability of foreign brands has reached more than 70%. In terms of consumer choice, consumers in different countries should be targeted. In this article, we carry out data collection, use RFID technology, take targeted strategic measures, and strive to realize the reform of Chinese fast-fashion clothing industry. We also provide reference for fast-fashion brands to implement RFID technology.