物流大数据与跨境电子商务协同发展路径分析  

Analysis of the Collaborative Development Path Between Logistics Big Data and Cross-Border E-Commerce

作　　者：陈洪飞[1] CHEN Hongfei(Shaoxing Vocational&Technical College,Shaoxing 312000,China)

机构地区：[1]绍兴职业技术学院,浙江绍兴312000

出　　处：《物流科技》2024年第12期59-61,65,共4页Logistics Sci-Tech

基　　金：浙江省产教融合“五个一批”(产教融合工程项目:纺织跨境电商产教融合工程项目)。

摘　　要：物流大数据和跨境电子商务是当前热门领域,二者之间的协同发展可以为企业提供更高效、更经济、更便捷的服务。文章基于物流大数据与跨境电子商务协同发展具有的提高物流效率、降低成本、提高用户体验和促进跨境贸易等重要作用,探讨物流大数据在跨境电子商务智能仓储管理、智能配送、客户个性化服务中的应用,提出物流大数据与跨境电子商务协同发展的机制,并指出二者协同发展存在物流数据收集和处理问题、信息整合问题、需求不匹配问题和隐私保护问题,最后根据上述问题提出加强数据收集分析能力、优化整合系统、提高物流服务水平、加强数据安全和隐私保护等优化路径。Logistics big data and cross-border e-commerce are currently hot areas;the collaborative development between them can provide enterprises with more efficient,economical,and convenient services.This paper summarizes the significance of the coordinated development of logistics big data and cross-border e-commerce,which has positive effects on improving logistics efficiency,reducing costs,improving user experience,and promoting cross-border trade.The paper explores the application of logistics big data in intelligent warehousing management,intelligent distribution,and personalized customer services in cross-border e-commerce,and proposes a mechanism for the coordinated development of logistics big data and cross-border e-commerce.The paper focuses on the problems of logistics data collection and processing,information integration,mismatch of needs,and privacy protection in the collaborative development of them.Finally,based on the above issues,the paper proposes optimization paths such as strengthening data collection and analysis capabilities,optimizing and integrating systems,improving logistics service levels,strengthening data security and privacy protection.

关 键 词：物流大数据 跨境电子商务 协同发展 

分 类 号：F259.2[经济管理—国民经济]