Application of AI Technology in the Apparel Industry in the Context of Sustainable Development
Kun Liu () and
Xingding Huang ()
Additional contact information
Kun Liu: Changchun University of Technology
Xingding Huang: Changchun University of Technology
A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 867-875 from Springer
Abstract:
Abstract This paper discusses the application of AI technology in the apparel industry in the context of sustainable development. The fashion industry has a serious overproduction problem, which brings challenges to the environment and sustainable development. The sustainable development strategy of the apparel industry covers the whole life cycle management and the 4R reuse path of old clothes, etc. AI technology has many applications in apparel recycling and redesign, such as assisting in the quality inspection link of recycling, AI image recognition technology can detect the quality of apparel; AIGC technology assists in the apparel design, and it can provide a variety of functional applications. Stable Diffusion, for example, can generate clothing effect diagrams in a variety of ways, and can also open up more possibilities for the redesign of old clothing. However, the garment recycling industry faces many challenges, the software design in the AI part also needs to be optimized, and the brand side to assist consumers in redesign also needs to be enriched.
Keywords: Sustainability; AI Technology; Apparel Recycling and Redesign (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-676-5_82
Ordering information: This item can be ordered from
http://www.springer.com/9789464636765
DOI: 10.2991/978-94-6463-676-5_82
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().