AI-Powered Supply Chain Optimisation and the Integration within the Fashion Industry: A Literature Review


Authors : Padmashree P; Jiya Pankaj Kaurani; Prem Kumar Luniya

Volume/Issue : Volume 9 - 2024, Issue 2 - February

Google Scholar : https://tinyurl.com/3cjj9eaa

Scribd : https://tinyurl.com/4bv2t9av

DOI : https://doi.org/10.5281/zenodo.10785532

Abstract : Purpose This study examines sustainable fashion from a variety of perspectives, considering its effects on the economy, society, and environment. It examines the challenges that the fashion industry has to overcome in order to become more sustainable, as well as fresh concepts and initiatives that aim to solve these issues. The report provides a comprehensive picture of how sustainable fashion is evolving and expanding, ranging from the use of eco-friendly materials to ethical methods of clothing production. Also, how AI will help the fashion industry to capture the market with proper supply chain and effective designs. The study delves into the challenges faced by the fashion industry in becoming more sustainable and explores various concepts. The discussion evolves around sustainable fashion industry, encompassing the use of eco-friendly materials and ethical production methods.  Design/Methodology Approach This study will delve into the details of how AI fusion can contribute to a more sustainable fashion landscape, offering a pathway that harmonizes creative expression with environmental responsibility. The paper explores an overview of the global fashion industry's creative and dynamic nature. Recognition of the industry's environmental impact and the need for sustainability. The purpose is to provide a comprehensive examination of environmental challenges and the role of AI in fostering sustainability. The exploration of the industry's reliance on finite resources and analysis of the impact on ecosystems and biodiversity.  Research Implication AI has the potential to completely transform several conventional processes, including demand forecasting, waste reduction, production scheduling, sustainable sourcing, and transportation and logistics optimization. By reducing waste, increasing efficiency, and lowering carbon emissions, AI integration helps the fashion sector adhere to sustainable practices. Notwithstanding the possible advantages, the study notes that implementing sustainable practices can be difficult due to supply chain complexity, change aversion, and budgetary issues. Innovation, cooperation, and customer awareness will be essential in creating a sustainable fashion industry as it quickly changes.

Keywords : Sustainable Fashion Industry; Artificial Intelligence (AI); Supply Chain Optimization; Sustainable Sourcing; Production Scheduling; Future Trends.

Purpose This study examines sustainable fashion from a variety of perspectives, considering its effects on the economy, society, and environment. It examines the challenges that the fashion industry has to overcome in order to become more sustainable, as well as fresh concepts and initiatives that aim to solve these issues. The report provides a comprehensive picture of how sustainable fashion is evolving and expanding, ranging from the use of eco-friendly materials to ethical methods of clothing production. Also, how AI will help the fashion industry to capture the market with proper supply chain and effective designs. The study delves into the challenges faced by the fashion industry in becoming more sustainable and explores various concepts. The discussion evolves around sustainable fashion industry, encompassing the use of eco-friendly materials and ethical production methods.  Design/Methodology Approach This study will delve into the details of how AI fusion can contribute to a more sustainable fashion landscape, offering a pathway that harmonizes creative expression with environmental responsibility. The paper explores an overview of the global fashion industry's creative and dynamic nature. Recognition of the industry's environmental impact and the need for sustainability. The purpose is to provide a comprehensive examination of environmental challenges and the role of AI in fostering sustainability. The exploration of the industry's reliance on finite resources and analysis of the impact on ecosystems and biodiversity.  Research Implication AI has the potential to completely transform several conventional processes, including demand forecasting, waste reduction, production scheduling, sustainable sourcing, and transportation and logistics optimization. By reducing waste, increasing efficiency, and lowering carbon emissions, AI integration helps the fashion sector adhere to sustainable practices. Notwithstanding the possible advantages, the study notes that implementing sustainable practices can be difficult due to supply chain complexity, change aversion, and budgetary issues. Innovation, cooperation, and customer awareness will be essential in creating a sustainable fashion industry as it quickly changes.

Keywords : Sustainable Fashion Industry; Artificial Intelligence (AI); Supply Chain Optimization; Sustainable Sourcing; Production Scheduling; Future Trends.

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