可拍攝生成式 AI 帶來的「全新消費體驗」最前線
時裝產業正迎來重大轉捩點。嚴峻的人手不足問題，以及全球關注的「服飾大量廢棄（庫存損失）」等挑戰，正以前所未有的速度加速導入生成式 AI 等科技來解決。事實上，時尚科技市場目前的規模為 334.8 億日圓，預計五年後將擴大至 431.4 億日圓*¹。
特別是 AI 虛擬試穿的普及，正逐漸確立一種「全新消費體驗」，讓消費者能夠毫不猶豫、聰明地找到「真正適合自己的一件衣服」。
「時尚科技博覽會」將於 4/8（三）起在東京國際展示場盛大舉行
全球頂級時尚雜誌啟用 AI 模特兒，奢華品牌導入 AI 廣告，引發全球關注。
在服飾產業中，生成式 AI 的浪潮終於也席捲了「廣告」與「視覺製作」的領域。全球頂級時尚雜誌啟用 AI 生成的模特兒登上版面，作為拓展創意可能性的新表現手法受到矚目；同時，奢華品牌也推出運用生成式 AI 的廣告活動。在奢華界，AI 已進化為擴展創意、吸引下一代粉絲不可或缺的工具。
過去需要龐大成本與時間的模特兒拍攝及型錄製作，正因 AI 而迎來劇烈的變革。
AI 改變服裝選擇、製作與推廣的幕後。介紹引領「服飾 DX」的 AI 技術與服務
常見問題
What is Fashion Tech EXPO?
Fashion Tech EXPO is an event held at Tokyo Big Sight by RX Japan, showcasing the latest technologies and innovations in the fashion industry, with a particular focus on generative AI applications.
How is generative AI being used in the fashion industry?
Generative AI is being used in various ways, including virtual try-ons to help consumers find suitable clothing, AI-powered design tools, AI-generated models for advertising and visuals, and AI embroidery machines to preserve traditional craftsmanship.
What are the main challenges in the apparel industry that AI is helping to solve?
AI is helping to address critical issues such as severe labor shortages and the problem of mass clothing waste (inventory loss) by improving efficiency in design, production, and sales processes.
What is the projected growth of the fashion tech market?
The fashion tech market is currently valued at 33.48 billion yen and is projected to expand to 43.14 billion yen in the next five years.
How does AI change the shopping experience?
AI, particularly through virtual try-ons, enables a "new consumption experience" where consumers can more easily and confidently find clothing that truly suits them, reducing the likelihood of purchasing mistakes.
