首页|人工智能生成内容赋能服装品牌数智化转型路径研究

人工智能生成内容赋能服装品牌数智化转型路径研究

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随着时尚领域的数智化发展,服装品牌面临着转型升级动能不足的问题,人工智能生成内容(AIGC)的赋能将为其提供新的思路.文章运用案例分析和归纳概括等方法,从设计、供应链、营销等多方面剖析服装品牌的发展现状,归纳与分析服装品牌在人工智能生成领域赋能下将呈现4大角色任务和7大技术场景的发展趋势,并探索其对服装品牌数智化转型升级的影响.研究表明:AIGC的赋能将促进服装品牌的数智化转型升级,虚拟化的设计展示、个性化的服务营销、共创式的商业模式及协作化的人才能力都将进一步提升品牌的数智化程度,帮助服装品牌实现"数据—算法—品牌—数据"的数智化升级,以期更好地应对未来市场的发展.
Research on the transformation path of artificial intelligence-generated content enabling digital intelligence for apparel brands
With the rapid development of information technology,artificial intelligence-generated content(AIGC)is gradually becoming a new engine of change for the apparel industry.The application of AIGC technology can not only reshape the way apparel content is produced,but also play a key role in all aspects of the apparel industry,thus revolutionizing the existing industry chain structure.This technological advancement means that apparel brands can design,produce and market more efficiently,while also better meeting the personalized and immediate needs of consumers.Against this backdrop,traditional apparel brands are facing unprecedented challenges.As consumer demand for apparel becomes increasingly diverse and personalized,brands must seek new ways to enhance their competitiveness.Digital transformation has become a key path for brand transformation and upgrading.With the help of digital technology,the information interaction between human and machine,human and clothing,and human and human can be realized,so an efficient,flexible and rapid response to the whole chain will be the mainstream of the future of the clothing brand as well as the direction of development.In view of this trend and the lack of kinetic energy for transformation and upgrading faced by domestic apparel brands,previous studies have focused more on the analysis of the status quo of digital transformation of apparel brands and policy interpretation,and less on summarizing and analyzing from the perspective of generative AI empowering apparel brand transformation.To solve the problem of insufficient kinetic energy for transformation and upgrading faced by apparel brands in the process of digital intelligence development,we,from the perspective of generative AI empowerment,use case study and generalization methods to analyze the development status of apparel brands from the perspective of design,supply chain,marketing,etc.,and summarize and analyze the apparel brands in the AI-generated field of empowerment to present four major roles and tasks and seven major technical scenarios.This paper combs through the current situation and challenges of China's apparel brands in the process of digital intelligence transformation,summarizes the development trends of efficient innovation of designers,intelligent and flexible production and manufacturing,and personalized and immersive user experience of apparel brands in the depth of digital intelligence through the apparel design,apparel sales and other roles and tasks and the AI-generated technology scenarios,and provides theoretical significance and practical insights to the proposed strategies for apparel brands in the context of digital intelligence.It has theoretical significance and practical inspiration for the proposal of digital intelligence transformation strategy,and also provides strategies and methods for solving the problem of insufficient kinetic energy faced by brands in the context of digital intelligence.With the continuous maturity and application of AIGC technology,apparel brands'digital intelligence transformation and upgrading has ushered in unprecedented opportunities.The empowerment of generative AI has not only brought innovative design ideas and efficient production processes to apparel brands,but also revolutionized marketing strategies and business models.The digital transformation of"brand+AIGC"has changed the design display,service marketing and business model,and also prompted the development of talent capabilities in a more open and collaborative direction.Virtualized design display,personalized service marketing,co-creative business model and collaborative talent capacity will further enhance the degree of digital intelligence of the brand,and help apparel brands realize the virtuous cycle of"data-algorithm-brand-data".This will help apparel brands realize the virtuous cycle of"data-algorithm-brand-data",so that they can maintain their leading position in the fierce market competition and achieve sustainable long-term development.In the context of the era of digital intelligence,AIGC technology is becoming a key force in promoting the transformation and upgrading of apparel brands.The discussion on the path of transformation and upgrading of apparel brands empowered by generative AI has provided a new development path and thinking angle for the development of brands,and the application of AIGC technology can not only greatly expand the innovation boundaries of apparel brands,but also establish a closer and more efficient interactive relationship between the brand and the user.The transformation and upgrading of apparel brands'digital intelligence is a comprehensive and in-depth process,which requires brands to actively embrace new technologies while maintaining their traditional strengths,and to continuously explore and practice new business models and service methods.While building a highly personalized,intelligent,sustainable and diversified apparel ecosystem,it also brings users a richer and more convenient shopping experience.The results of this study not only provide some theoretical reference for subsequent scholars on generative AI empowering the transformation and upgrading of apparel brands,but also provide inspiration and reference for promoting the digital-intelligent transformation of apparel brands and the upgrading of the apparel industry through digital-intelligent transformation.

artificial intelligence-generated content(AIGC)digital intelligence transformationapparel brandsdigital ecologybig datawhole process design

庄冬冬、任若安、孙捷

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天津美术学院设计艺术学院,天津 300141

同济大学设计创意学院,上海 200092

人工智能生成内容(AIGC) 数智化转型 服装品牌 数字生态 大数据 全流程设计

天津市教育委员会社会科学重大立项项目

2021JWZD35

2024

丝绸
浙江理工大学 中国丝绸协会 中国纺织信息中心

丝绸

CSTPCD北大核心
影响因子:0.567
ISSN:1001-7003
年,卷(期):2024.61(9)