Fast Fashion’s Fate: Artificial Intelligence, Sustainability, and the Apparel Industry

快时尚 持续性 服装 时尚产业 业务 纺织工业 历史 考古 生态学 生物
作者
Andreas Kaplan
标识
DOI:10.1007/978-3-031-49979-1_2
摘要

The clothing sector is one of the biggest polluters in the world. Aware of the growing number of environmentally conscious consumers, several fashion brands aim to become more sustainable. Artificial intelligence (AI), defined as "a system's ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation," may be applied to fast fashion as a means of greening the apparel industry. This chapter explains how AI can enhance the sustainable production and consumption of clothing products. First, it provides an overview of AI and analyzes and decodes its potential and associated risks and challenges. Numerous examples describe AI's application to the retail and clothing industries, such as supply chain optimization and fostering eco-responsible consumption patterns. Second, this chapter illustrates how AI can help the fashion industry significantly reduce its carbon footprint. Third, three case studies of fashion companies that have started implementing artificial intelligence into their operations to improve sustainability are put forward, including two fast-fashion companies (H&M and Zara) and one luxury fashion retail platform (Farfetch). Finally, the chapter concludes with suggestions for the future of fast fashion.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
科研通AI6.3应助吴军霄采纳,获得20
2秒前
2秒前
善学以致用应助SY采纳,获得10
3秒前
在水一方应助飘逸踏歌采纳,获得10
3秒前
含BUFF完成签到,获得积分10
4秒前
科研熊发布了新的文献求助10
4秒前
飘逸小天鹅完成签到 ,获得积分10
5秒前
FOX完成签到,获得积分10
5秒前
6秒前
yon发布了新的文献求助10
6秒前
sang发布了新的文献求助10
6秒前
redstone发布了新的文献求助10
6秒前
默默三颜关注了科研通微信公众号
6秒前
Huanghong完成签到,获得积分10
6秒前
鱿鱼坤完成签到,获得积分10
7秒前
7秒前
8秒前
饼饼发布了新的文献求助10
9秒前
zzdoc发布了新的文献求助10
10秒前
白白白发布了新的文献求助20
10秒前
茫123456完成签到,获得积分10
14秒前
ztayx完成签到 ,获得积分10
14秒前
VincentZ发布了新的文献求助30
14秒前
科研通AI6.2应助高高采纳,获得10
15秒前
an完成签到,获得积分10
15秒前
善学以致用应助kokocrl采纳,获得10
16秒前
16秒前
gycao2025发布了新的文献求助10
16秒前
lettuce完成签到,获得积分10
16秒前
世界和平完成签到 ,获得积分10
17秒前
chunyan_sysu完成签到,获得积分10
18秒前
19秒前
19秒前
思源应助叶梦采纳,获得10
19秒前
lizishu应助Rinamamiya采纳,获得100
20秒前
20秒前
20秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Lewis’s Child and Adolescent Psychiatry: A Comprehensive Textbook Sixth Edition 2000
Continuing Syntax 1000
Encyclopedia of Quaternary Science Reference Work • Third edition • 2025 800
Signals, Systems, and Signal Processing 510
Pharma R&D Annual Review 2026 500
荧光膀胱镜诊治膀胱癌 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6220280
求助须知:如何正确求助?哪些是违规求助? 8045341
关于积分的说明 16770527
捐赠科研通 5305911
什么是DOI,文献DOI怎么找? 2826578
邀请新用户注册赠送积分活动 1804731
关于科研通互助平台的介绍 1664509