• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.165-181
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• 2022

The fashion industry is creating innovative business models using artificial intelligence. To efficiently utilize artificial intelligence (AI), fashion data must be classified. Until now, such data have been classified focusing only on the objective properties of fashion products. Their subjective attributes, such as fashion brand sensibilities, are holistic and heuristic intuitions created by a combination of design elements. This study aims to improve the performance of collaborative filtering in the fashion industry by extracting fashion brand sensibility using computer vision technology. The image data set of fashion brand sensibility consists of high-end fashion brand photos that share sensibilities and communicate well in fashion. About 26,000 fashion photos of 11 high-end fashion brand sensibility labels have been collected from the 16FW to 21SS runway and 50 years of US Vogue magazines beginning from 1971. We use EfficientNet-B1 to establish the main architecture and fine-tune the network with ImageNet-ILSVRC. After training fashion brand sensibilities through deep learning, the proposed model achieved an F-1 score of 74% on accuracy tests. Furthermore, as a result of comparing AI machine and human experts, the proposed model is expected to be expanded to mass fashion brands.

• 프린팅코리아
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• s.33
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• pp.146-149
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• 2005

다이커팅은 주로 프레젠테이션 접지물, CD/DVD 자켓, 라벨, 플레잉카드, 기프트카드, 마그넷카드 등에 응용되고 있다. 전세계적으로 유명한 유력 다이커터 제조업체인 밥스트, 브라우세, 브랜드젠&클루지, 산와와 그 외 다른 업체들은 엠비오, 롤렘, 스필, 비죽과 같은 업체들이 중형범위 시장을 목표로 하는 동안에도 대형 범위 시장에 활용되는 인쇄기들에 관심을 보여왔다. H.S.보이드와 프린트크래프트는 인쇄업체들이 이미 보유하고 있는 오프셋 인쇄기에 인라인으로 다이커팅 장비를 부가할 수 있는 시스템들을 제공한다. 하이델베르크는 스피드마스터SM52 인쇄기에 인라인 다이커팅 장비를 선택사양으로 장착, 중형 범위 시장을 공략할 뿐만 아니라 다이매트릭스, 카마 등의 장비를 통해서는 하이-엔드 작업 범위까지 공략하고 있다. 다이커팅은 폴딩(접지), 펀칭(타공), 글루잉(풀칠), 스코어링(꺽음줄매기기), 퍼핑(연속천공), 금박, 엠보싱 작업들과 결합된다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.