인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study reconceptualizes “agentic artificial intelligence (AI)” in the fashion industry, shifting the focal point from individual performance metrics to a multidimensional structure of agency. Employing a qualitative case study methodology, the research analyzes 11 AI-driven fashion services through an analytical framework composed of five functional dimensions (autonomy, decision-making, problem-solving, interactivity, and planning/execution)mapped across three operational levels (behavior, structure, and system). Findings indicate that fashion AI does not converge on a single developmental stage but forms a multilayered ecosystem where agency is selected and expanded based on strategic goals and service contexts. The services were categorized into three distinct levels: (1) Conventional AI Agent: Represented by H&M Chatbot, focusing on behavioral automation and stable rule-based recommendations, (2) Potentially Agentic AI: Including Alta, AskRalph, Heuritech, MaIA, OneOff, and WGSN Fashion Buying, which expand into structural decision-making but remain in a transitional phase dependent on human oversight, and (3) Highly Agentic AI: Comprising Shopify, Gensmo, Daydream, and Stitch Fix, which implement system-level agency by orchestrating complex “agentic commerce” processes such as multimodal interpretation and multistep execution.
These results demonstrate that AI in fashion is evolving beyond mere assistants toward becoming independent“agentic actors.” This study provides a diagnostic framework and a phased roadmap—from operational efficiency to organizational reorganization—to support fashion companies in their strategic AI integration.
These results demonstrate that AI in fashion is evolving beyond mere assistants toward becoming independent“agentic actors.” This study provides a diagnostic framework and a phased roadmap—from operational efficiency to organizational reorganization—to support fashion companies in their strategic AI integration.
본문·목차
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