The Revolution of Sustainable Fashion: The Influence of Artificial Intelligence in the Fashion Industry

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@article{1707759,
      author = {Michelle Lins de Lima},
      title = {The Revolution of Sustainable Fashion: The Influence of Artificial Intelligence in the Fashion Industry},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {9},
      pages = {461-465},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707759.pdf},
      abstract = {The increasing demand for sustainable practices in the fashion industry is driving the adoption of advanced technologies such as artificial intelligence (AI). AI has been instrumental in optimizing fabric use, promoting upcycling, and implementing predictive technologies, helping to reduce waste and improve efficiency across the entire supply chain. AI models allow brands to adjust production according to real demand, avoiding overproduction and excess inventory, contributing to a more circular and sustainable production cycle. Additionally, AI has enabled significant innovations, such as sustainable design and transparency in the supply chain. AI algorithms analyze consumption patterns, adjusting production to meet consumers' real needs without wasting resources. Predictive technologies have also been crucial in improving operational efficiency for companies, conserving natural resources, and reducing carbon emissions. However, the successful integration of AI into sustainable fashion still faces challenges, such as resistance from companies and the need for a cultural shift within the industry. Research suggests that despite AI's great potential, its adoption depends on a collective effort to educate and engage stakeholders and on policies that encourage more responsible practices. Future research should delve deeper into consumer behavior and the implications of AI on fashion business management.},
      keywords = {Artificial Intelligence (AI), Sustainable Fashion, Upcycling, Production Optimization, Technological Innovations.},
      month = {March},
  }