International Journal For Multidisciplinary Research

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Artificial Intelligence in Ready-Made Garments Industry of Bangladesh: Practices and Challenges

Author(s) Hillol Saha
Country Bangladesh
Abstract This research paper examines the utilization of artificial intelligence (AI) and its influence on enhancing business in the RMG industry in Bangladesh. This will be accomplished through a comprehensive study of existing literature and secondary data. The study aims to gain a comprehensive understanding of particular AI technologies, quantify the advantages of AI, and evaluate the obstacles encountered by the RMG industry in adopting AI. Artificial intelligence (AI) has significantly enhanced the efficiency, cost-effectiveness, productivity, customization capabilities, trend prediction accuracy, and sustainability of garment creation. Nevertheless, it gives rise to concerns over unemployment, ensuring consistent standards, safeguarding personal information, reliance on technology and ethical dilemmas. The RMG sector should enhance employee comprehension of AI, seek varied sources of funding and skilled personnel, collaborate with the government to obtain infrastructure assistance and enact legislation, tackle concerns regarding job displacement through training, and foster employee receptiveness to change in order to surmount these challenges. The garments sector in Bangladesh has the potential to enhance its operations and competitiveness by implementing these approaches. This study will provide valuable insights for corporate executives, decision-makers, and academics who are interested in optimizing the capabilities of artificial intelligence and improving business results in Bangladesh.
Keywords Key words: Artificial intelligence (AI), Ready- made garments (RMG), Industry challenges, Bangladesh.
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-09-02
Cite This Artificial Intelligence in Ready-Made Garments Industry of Bangladesh: Practices and Challenges - Hillol Saha - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27073
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.27073
Short DOI https://doi.org/gt9ks7
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