From Data to Delivery: How AI is Streamlining Apparel Supply Chains

Abstract

This research examines how Artificial Intelligence (AI) affect the supply chain efficiency within the apparel sector, highlighting challenges faced by exporters in adopting AI technologies. The research examines factors like AI adoption, awareness, challenges, and performance improvements that influence supply chain operations in the apparel sector. By employing a simple random sampling technique with 50 respondents, data were analyzed using percentage analysis, factor analysis and structural equation modeling. Key findings suggest that AI adoption in the apparel industry leads to better operational efficiency, reduced labor requirements, and enhanced productivity. Nevertheless, obstacles such as substantial implementation costs, issued regarding data privacy and resistance to adoption were identified. The study provides practical suggestions for improving employee training, expanding AI applications, and focusing on women’s and children’s garments to capitalize on emerging market trends. The results underscore the importance of adapting to technological advancements to maintain competitive advantage and meet evolving customer demands.