Evolving E-commerce Logistics Planning- Integrating Embedded Technology and Ant Colony Algorithm for Enhanced Efficiency

TL;DR

This paper proposes an integrated logistics planning approach for e-commerce, combining embedded technology and ant colony algorithms to improve route optimization and delivery efficiency in cross-border e-commerce.

Contribution

It introduces a novel logistics framework that incorporates embedded technology and ant colony algorithms for enhanced route planning in CBEC logistics.

Findings

Reduced average delivery time

Improved route optimization efficiency

Enhanced logistics tracking system

Abstract

Amidst the era of networking, the e-commerce sector has undergone notable expansion, notably with the advent of Cross-border E-commerce (CBEC) in recent times. This growth trend persists, necessitating robust logistical frameworks to sustainably support operations. However, the current e-commerce logistics paradigm faces challenges in meeting evolving user demands, prompting a quest for innovative solutions. This research endeavors to address these complexities by undertaking a comprehensive analysis of CBEC logistics models and integrating embedded technology into logistical frameworks, resulting in the development of an advanced logistics tracking system. Moreover, employing the ant colony algorithm, the study conducts experimental investigations into optimizing logistics package distribution route planning. Noteworthy enhancements are observed in key metrics such as average delivery time, signaling the efficacy of this approach. In essence, this research offers a promising pathway towards optimizing logistics package distribution routes and bolstering package transportation efficiency within the CBEC domain.