맞춤의류 클라우드 플랫폼 서비스 기술개발을 위한 맞춤업체 현황 조사

Survey of Custom Clothing Company’s Status for the Development of Customized Clothing Cloud Platform Service Technology

This study investigates the current status of men’s customized suits company and online sales of the product. Moreover, the analysis data are intended to be used as the fundamental data for the development of a customized clothing cloud platform. Results reveal that men’s customized suits companies frequently used online sales, followed by offline sales as the sales method. Moreover, customers prefer the customized clothing because ready-made clothing does not fit them. Our findings also reveal that customers want the customized clothing for fitting their body shape and for special events like wedding. In recent years, custom clothing company utilized the online channel because of the decline in offline sales; online sales and preference for non-face-to-face sales increase in the fashion market due to the COVID-19 pandemic. Moreover, this study determined that customer dissatisfaction that often occurs when selling products is due to long manufacturing time, expensive price, and unmet customer expectations regarding the finished goods design/material. To increase customized clothing customer’s satisfaction, the online service system needs to shorten the production period, reduce production costs, and provide accurate information on the product’s design/materials through the establishment of a linkage system between related companies. Firms were operating their online sales via their own websites, but they showed low customer satisfaction. Hence, style option and fabric 3D mapping service, offering trend and product recommendation service, customer size storage and management function, and filling order sheet function were recommended to improve satisfaction when developing a new online platform. Therefore, an online service that provides new and interesting visual information is suitable for men’s customized suits companies. These companies also expect to provide a service that combines product/consumer data and automatic order system technology.