  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.
