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Aug 24, 2026·Wear the Change
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Digital Technologies and Sustainability in the Fashion, Textile, and Clothing Industries

Patrick Hui, Qilong Feng

The fashion, textile, and clothing industries are at a critical juncture, confronted with mounting pressure to adopt sustainable practices while simultaneously addressing the rising consumer demand. Digital innovation and smart manufacturing technologies are emerging as transformative forces, facilitating waste reduction, improving operational efficiency, and promoting a shift toward a circular economy. Contemporary discourse frequently reports and examines various technological applications within the context of complex fashion projects. Nevertheless, the extent to which digital technologies empower sustainability in fashion and alter traditional workflows remains inconclusive in existing literature. Consequently, systematic categorization is essential to elucidate the principal application domains alongside their respective advantages and limitations. This chapter explores significant technological advancements – such as artificial intelligence (AI), the Internet of Things (IoT), 3D printing, blockchain, and digital twins – and their role in optimizing design processes, production, and supply chain transparency. The research method encompasses a comprehensive literature review supplemented by reports and news sources, complemented by case studies about the recent implementation of digital technologies to enhance the sustainability in fashion brands. The analysis focuses on how these digital innovations contribute to sustainability by minimizing resource consumption, enabling on-demand manufacturing, and improving traceability. Furthermore, the chapter addresses challenges in technology adoption, including high implementation costs and workforce reskilling, while outlining emerging trends shaping the industry’s future. The findings identify four primary domains in which digital technologies are empowering the fashion industry: AI-driven design analysis, IoT and smart factory applications enhancing manufacturing processes, 3D printing and digital textiles, and blockchain technology safeguarding ethical practices. Although debates persist regarding the efficacy of digital technologies in supplanting conventional methods, several case studies demonstrate readiness of digital technologies to assist industrial sustainability. For instance, trend prediction and personalized style consultancy services have reduced product returns and increased customer retention by approximately 25%. Additionally, robotic systems in smart factories respond to orders 90% faster than human labor and reduce warehouse labor costs by 30%. Enhanced material traceability within supply chains contributes to a 30% reduction in fabric waste. The findings underscore the potential of digital transformation to harmonize economic growth with environmental responsibility, thereby fostering a more sustainable fashion ecosystem.

Fashion and Cultural Textiles
Environmental Sustainability in Business
Crafts, Textile, and Design
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Aug 9, 2026·Zenodo (CERN European Organization for Nuclear Research)
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Reconfiguring Fashion through Artificial Intelligence: Opportunities, Ethics and Emerging Challenges

Shreelakshmi

Artificial Intelligence (AI) is reshaping contemporary fashion by transforming design processes, production systems, and sustainability strategies in the textile and apparel sector. Amid growing concerns over overconsumption, environmental degradation, carbon emissions, and social inequities, AI has emerged as both a technological enabler and a subject of ethical scrutiny. This study examines the influence of AI on creative practice, circular design implementation, and responsible innovation in fashion. Drawing on a qualitative synthesis of systematic literature, design theory, and industry case analyses, this study proposes a framework that situates AI within sustainable fashion discourse. Findings indicate that generative design tools, virtual prototyping, digital twins, and predictive analytics support waste reduction, virtual sampling, demand-responsive production, and informed material selection. AI-enabled resale systems, automated textile sorting, and blockchain-based traceability strengthen circular economy initiatives by extending product lifecycles and improving transparency. However, algorithmic decision-making challenges authorship, craftsmanship, dataset neutrality, and labor structures. Concerns over bias, intellectual property ambiguity, digital energy consumption, and workforce displacement complicate sustainability narratives. The study argues that sustainable transformation requires a human-centered governance approach in which AI augments rather than replaces creative agency and is supported by ethical regulation and critical design education. By integrating sustainability theory, computational creativity, and AI ethics, this research contributes a holistic framework for responsible AI adoption in fashion systems.

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Fashion and Cultural Textiles
Crafts, Textile, and Design
Digital Transformation in Industry
Original source