Exploring the Challenges and Opportunities of Implementing Artificial Intelligence in Supply Chain Management: A Survey-Based Study in Asian Manufacturing Sector

This research paper explores the challenges and opportunities of implementing artificial intelligence (AI) in supply chain management (SCM) within the Asian manufacturing sector.The study aims to investigate the current state of AI adoption, perceived benefits, challenges, and investment priorities among Asian manufacturers, with a focus on understanding the implications for operational efficiency and competitiveness.Utilizing a survey-based approach, data was collected from key stakeholders in the Asian manufacturing sector, comprising individuals with expertise in SCM, technology adoption, and manufacturing operations.The survey questionnaire was designed to capture quantitative and qualitative insights into AI adoption rates, perceived benefits, challenges, and investment priorities.The findings of the study indicate a moderate level of AI adoption among Asian manufacturers, with significant potential for further growth and investment in AI technologies.Key benefits associated with AI adoption include improved demand forecasting, enhanced inventory management, and increased supply chain visibility.However, challenges such as high implementation costs, lack of skilled workforce, data privacy concerns, and integration complexities hinder widespread adoption.The implications of the research findings extend to practitioners, policymakers, and researchers, offering actionable recommendations for manufacturers to navigate the complexities of digital transformation and harness the full potential of AI technologies in SCM.By addressing these challenges and leveraging AI-driven innovation, manufacturers can enhance operational efficiency, customer satisfaction, and competitive advantage in the dynamic Asian manufacturing market.