Environmental Implications and Sustainable Strategies in the Global Apparel Industry: Overcoming Climate Change Challenges with Artificial Intelligence
摘要
While discussions around environmental impacts often center on energy consumption and transportation, this research shifts the focus to the often-overlooked personal garment. This paper analyzes the historical environmental footprint of the fashion industry, identifying key contributors such as fast fashion practices, textile production, and supply chain inefficiencies. Simultaneously, it explores the profound implications of fashion on climate change, emphasizing the risks posed by production and distribution. Moreover, the study investigates the role of artificial intelligence in the fashion industry, showcasing its applications in trend forecasting, design, and retail. The paper advocates for the transformative potential of artificial intelligence in reshaping the industry’s ecological impact. We uncover AI-driven sustainability solutions, illustrating how predictive analytics and circular economy initiatives can help mitigate climate change.