Transforming Operational Efficiency: The Impact of AI-Driven Sustainable Management and Lean Manufacturing Practices in the U.S. Fashion Industry

Abstract

The high levels of waste and inefficiency frequently found in traditional fashion production techniques, which significantly worsen the environment, are a significant problem facing the fashion industry today. In this study, the revolutionary effects of lean manufacturing techniques and AI-driven sustainable management on operational efficiency in the US fashion sector are investigated. In addition to enhancing operational effectiveness, the project intends to investigate how using AI technology might improve sustainability. Applying AI to improve supply chain transparency, resource efficiency, and sustainable design principles is the main focus of the study. Finding practical ways that fashion firms may use AI to enhance operational results and sustainability initiatives is the aim of this study. There is a significant knowledge vacuum on how these technologies can be successfully incorporated into the current frameworks of the industry. Using a qualitative technique, the study bases its conclusions on secondary sources from academic literature, industry reports, and expert analyses. According to the analysis, AI significantly increases operational efficiency by promoting sustainable design choices, lowering overproduction, and improving supply chain transparency. These findings answer the research question on the potential of AI to transform operational processes in the fashion sector. By emphasizing the role of technology in accomplishing sustainability objectives, the study adds to both scholarly discussion and real-world applications. While practitioners are urged to adopt AI solutions for increased efficiency and decreased environmental impact, academics can benefit from developing theoretical frameworks on technology adoption in sustainability contexts. The limitations of the study include its reliance on secondary data, which might not fully capture the subtleties of primary operations across a range of fashion businesses. Future studies could look at customer behavior toward sustainable practices and longitudinal studies on AI applications across different industry segments. Policy suggestions include funding educational initiatives to raise consumer knowledge of sustainable fashion options and offering incentives to companies that implement AI-driven sustainable practices.