Evaluating the Impact of Automation on Supply Chain Efficiency: A Comparative Study of the United States and Bangladesh

Abstract

Supply chain operations worldwide are being revolutionized through automation, Digital Supply Chain Management (DSCM), which allows companies to conduct speedy, economical, and dependable processes. This paper will give a comparative analysis of how DSCM and automation can influence the effectiveness of supply chains in the United States and Bangladesh. Primary surveys of supply chain professionals and secondary industry reports, as well as case studies, were reviewed using a mixed-method analysis to assess such operational metrics as lead time, cost of production, accuracy of order fulfillment, and responsiveness. The results have shown that the complete implementation of DSCM in the United States is effective in creating efficiency, cost-reduction, and improved resilience of the supply chain. There is observed evidence of benefits of partial adoption in Bangladesh relative to the manual processes, but infrastructural constraints, mismatch in skills of the workforce, and the dependence on manual processes limit the scale of the benefits. The research refers to bottlenecks like high cost of implementation, lack of digital infrastructure, and workforce preparedness, and outlines the opportunities of digital solutions (IoT, AI, ERP, and robotics) in streamlining supply chains. The insights can guide policymakers, business leaders, and researchers on actions to bring about the digital revolution in the developing economies and improve the effectiveness of the global supply chain.