This study examines the improvement of customs clearance business processes for international logistics companies within the context of global supply chains. Inefficiencies in traditional customs clearance, characterized by bureaucratic delays, fragmented procedures, and limited technological integration, continue to undermine logistics performance, raise operational costs, and pose security risks. To address these challenges, the study adopts a process-oriented and technology-driven perspective grounded in Business Process Re-engineering (BPR) and Systems Thinking theory. Using document analysis, business process modelling (BPMN), and logistic regression analysis, the study compares the traditional clearance model with the proposed improved model. Findings reveal a substantial performance improvement, with clearance efficiency increasing from 40% under the traditional system to 88% under the redesigned, technology-enabled process. The results demonstrate that systematic process re-engineering combined with integrated digital technologies can significantly reduce clearance time, minimize bottlenecks, and strengthen both trade facilitation and regulatory control. The study contributes a practical and scalable model for policymakers, customs authorities, and international logistics firms seeking to enhance cross-border logistics performance in developing and emerging economies.
Jeremiah Iwasen Mzughulga (Thu,) studied this question.