Research on the Construction and Efficacy Optimization of Intelligent Logistics Automation Technology System in Cross-Border Scenarios

Abstract

With the rapid development of cross-border e-commerce and international trade, the cross-border logistics industry is confronted with several pain points, such as fragmented multi-link processes, excessive manual intervention, and significant efficiency fluctuations. This study focuses on constructing an intelligent logistics automation technology system that covers the entire chain from “overseas procurement-international transportation-customs clearance and inspection-domestic warehousing”. The aim is to achieve unmanned logistics operations and data interconnectivity through the deep integration of intelligent hardware, digital systems, and process algorithms. A four-layer technology architecture of “perception layer-transmission layer-decision-making layer-execution layer” has been designed. Moreover, in-depth explorations have been conducted on key technologies such as intelligent classification of multi-category products, automated scheduling of cross-border multimodal transportation, and intelligent compliance verification of customs clearance and inspection. The actual business data of DongGuan Kreen Import and Export Co., Ltd. have been utilized to validate the significant efficacy of this technology system in enhancing logistics cycle, reducing labor costs, and minimizing error rates, achieving an overall efficiency improvement of over 30% across the entire chain. The research outcomes not only provide a replicable automation transformation solution for cross-border logistics enterprises but also offer theoretical and practical references for the application of intelligent logistics technology in cross-border scenarios, holding important academic and application value.