AI and IoT in Apparel Quality Assurance: A Study on Innovation and Efficiency in Bangladesh’s Ready-Made Garments Industry

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Abstract

The Ready-Made Garments (RMG) industry in Bangladesh stands as the backbone of the national economy due to its strong GDP contribution and its workforce of more than 4 million workers. Competitiveness abroad of Bangladesh's RMG sector faces threats from quality control inconsistencies and supply chain inefficiencies, and high defect rates. The investigation shows how Artificial Intelligence (AI) and Internet of Things (IoT) can revolutionize quality assurance (QA) administration in Bangladesh’s Ready-Made Garments (RMG) sector. Through AI-based analytics and IoT real-time network systems, manufacturers can boost operational efficiencies and reduce production errors, and foster environmental sustainability. This article uses literature review methods together with case studies and analysis of existing implementations to show strategic recommendations and opportunities, along with challenges for implementing these technologies in Bangladesh's RMG industry.

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