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

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…
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Taxonomy
TopicsAdvanced Manufacturing and Logistics Optimization · E-commerce and Technology Innovations · Scheduling and Optimization Algorithms
