Selection Method of Cross-Border e-Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm

Ying Yang,Miaochao Chen

doi:10.1155/2022/6885432

Abstract

The combination of the Internet and foreign trade has promoted the rapid development of cross-border e-commerce, and cross-border e-commerce logistics has risen due to the development of cross-border e-commerce. However, the costs incurred by enterprises in the operation of intermediate logistics links have remained high for many years. Considering the cross-border electricity export logistics mode selection, the author of this paper tackles the main existing problems, using literature study, field survey method, case analysis and the collaborative filtering method of major consumer goods export logistics mode, and the advantages and disadvantages in the enterprise’ internal and external environmental analysis and evaluation, and puts forward a scientific logistics coordination mechanism and new export logistics mode. Firstly, the development background of cross-border e-commerce logistics is sorted out, and the research content, research method, and research framework are proposed based on the theoretical research of relevant scholars. Secondly, several logistics modes of cross-border e-commerce export are summarized, including international postal parcel, international express, international special line, etc., and the indicator system of logistics mode selection is determined through comparative analysis of application scope and advantages and disadvantages. Secondly, a logistics selection model based on collaborative filtering algorithm is constructed, and the model is verified by a practical case of a specific export cross-border e-commerce company. Finally, the research conclusions and application strategies of this paper are proposed, so as to provide the most appropriate logistics mode and guarantee suggestions for cross-border e-commerce enterprises and provide ideas and methods for cross-border e-commerce enterprises to choose international logistics mode for different types of import and export goods. The significance of this study was aimed at the current cross-border electricity development mainly by restricting factors, planning the most suitable for the development of China’s cross-border electronic business logistics mode, to some extent, and it has enriched the cross-border electricity business related research in the field of logistics, to inspire transformation of foreign trade enterprises, so as to better promote the cross-border electricity business healthy and orderly development and export logistics mode optimization selection.

Highlights

In the era of the global financial crisis, foreign trade as a whole environmental degradation, trade protectionism, the export cost increase, and the international market demand, there appeared many unfavorable factors, such as China’s economy developing into the “new normal” China’s economy and trade gradually from “importer” into “exporters”, especially in China under the favorable policy of “area.” It has fully stimulated the vitality of China’s import and export trade, and the transaction scale has grown substantially year after year
In view of the existing major problems in the selection of cross-border e-commerce export logistics mode, this paper firstly describes the analysis of cross-border e-commerce logistics mode and the construction of index system, discusses the basic principle of collaborative filtering algorithm, and verifies the selection and optimization of cross-border e-commerce export logistics mode through an example. e main innovation point is to take the crossborder e-commerce logistics model as the entry point, indepth analysis of the operation of small and medium-sized cross-border e-commerce enterprises of different sizes in the market, from the four perspectives of business sharing, information sharing, overseas warehouse resources sharing, and reverse logistics sharing to achieve the optimized development of cross-border export
Collaborative filtering studies and excavates users’ interests by referring to historical behavior, which makes it relatively easy for users who want to hack into and inject fake data, affecting the results presented in the final recommendation list

Summary

Introduction

In the era of the global financial crisis, foreign trade as a whole environmental degradation, trade protectionism, the export cost increase, and the international market demand, there appeared many unfavorable factors, such as China’s economy developing into the “new normal” China’s economy and trade gradually from “importer” into “exporters”, especially in China under the favorable policy of “area.” It has fully stimulated the vitality of China’s import and export trade, and the transaction scale has grown substantially year after year. In the selection of cross-border e-commerce logistics mode, the complex customs clearance process of various countries, long transportation distance, different import and export policies of logistics among different countries, and high logistics costs are the main factors causing long-term and short-term operating losses of cross-border e-commerce enterprises [4]. Erefore, it is an important means to greatly improve the efficiency of crossborder e-commerce industry to solve the problem of choosing the export logistics mode of major consumer goods for cross-border e-commerce enterprises [5, 6]. It is mainly a process of flow control and management of cross-border e-commerce goods and information by way of sea, land, and air. Cross-border e-commerce is a cross-border business activity. erefore, cross-border e-commerce logistics should adjust measures to local conditions and choose appropriate cross-border logistics mode according to different cross-border businesses and market changes

Objectives

Results

Conclusion