Author(s) :

Dr. Kshamaheeta Trivedi.

Volume/Issue :

Abstract :

The fashion industry plays a pivotal role in the global economy, but it's facing increasing pressure to embrace sustainable practices due to growing consumer insistence on environmental responsibility. Managing the supply chain in fashion is complex, involving numerous stakeholders and processes, which calls for innovative approaches to achieve sustainability. Artificial Intelligence (AI) offers a robust solution for optimizing these supply chains, allowing businesses to improve efficiency, reduce waste, and promote ethical practices. In this investigation, we delve into the role of AI in revolutionizing supply chain management for sustainable fashion retail. We examine how AI technologies are deployed at various supply chain stages, from raw material procurement to production, logistics, and retail. By analysing case studies and industry practices, we evaluate the impact of AI-driven solutions on sustainability objectives, such as reducing carbon footprints, enhancing resource utilization, and ensuring ethical sourcing. Our findings reveal that AI can significantly streamline supply chain operations, providing real- time insights and enabling data-driven decision-making. However, integrating AI also poses challenges such as high implementation costs and the need for advanced technical expertise. This paper aims to provide a comprehensive overview of the benefits, challenges, and prospects of AI in sustainable fashion supply chains, underscoring its potential to propel the industry towards a more sustainable future.

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