Journal of Fashion Business (패션비즈니스)

The Korean Society of Fashion Business (한국패션비즈니스학회)
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Current Status of Development and Practice of Artificial Intelligence Solutions for Digital Transformation of Fashion Manufacturers

패션 제조 기업의 디지털 트랜스포메이션을 위한 인공지능 솔루션 개발 및 활용 현황

  • Kim, Ha Youn (Dept. of Clothing and Textiles, Kunsan National University) ;
  • Choi, Woojin (Dept. of Textiles, Merchandising, and Fashion Design, Seoul National University) ;
  • Lee, Yuri (Dept. of Textiles, Merchandising, and Fashion Design, Seoul National University / Research Institute of Human Ecology, Seoul National University) ;
  • Jang, Seyoon (Research Institute of Human Ecology, Seoul National University)
  • 김하연 (군산대학교, 의류학과) ;
  • 최우진 (서울대학교, 의류학과) ;
  • 이유리 (서울대학교, 의류학과/서울대학교, 생활 과학연구소) ;
  • 장세윤 (서울대학교, 생활과학연구소)
  • Received : 2022.01.06
  • Accepted : 2022.03.04
  • Published : 2022.05.30
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Abstract

Rapid development of information and communication technology is leading the digital transformation (hereinafter, DT) of various industries. At this point in rapid online transition, fashion manufacturers operating offline-oriented businesses have become highly interested in DT and artificial intelligence (hereinafter AI), which leads DT. The purpose of this study is to examine the development status and application case of AI-based digital technology developed for the fashion industry, and to examine the DT stage and AI application status of domestic fashion manufacturers. Hence, in-depth interviews were conducted with five domestic IT companies developing AI technology for the fashion industry and six domestic fashion manufacturers applying AI technology. After analyzing interviews, study results were as follows: The seven major AI technologies leading the DT of the fashion industry were fashion image recognition, trend analysis, prediction & visualization, automated fashion design generation, demand forecast & optimizing inventory, optimizing logistics, curation, and ad-tech. It was found that domestic fashion manufacturers were striving for innovative changes through DT although the DT stage varied from company to company. This study is of academic significance as it organized technologies specialized in fashion business by analyzing AI-based digitization element technologies that lead DT in the fashion industry. It is also expected to serve as basic study when DT and AI technology development are applied to the fashion field so that traditional domestic fashion manufacturers showing low growth can rise again.

Keywords

Acknowledgement

본 논문은 한국패션산업협회의 지원을 받아 작성되었음

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