Selection of Cross-Border E-Commerce Import Model Based on Intelligent Data Analytics AHP Algorithm

Abstract

With the gradual popularity of e-commerce in our country, Cross-Border E-Commerce (CBEC) has developed rapidly. In order to comply with this development trend, more and more enterprises in our country have embarked on the development path of CBEC, and CBEC import models are becoming increasingly diversified. Among them, the choice of CBEC import models based on the AHP algorithm helps a lot. The purpose of this article is to study the selection of CBEC import models based on the AHP algorithm. This article first analyzes the current situation of China’s CBEC, compares the types of CBEC import models, and summarizes the advantages of various CBEC supply models. This paper analyzes and discusses the specific situation of our country’s CBEC model and its operation through specific analysis of the current situation and problems of H company’s CBEC and puts forward suggestions for the development of our country’s CBEC import model. Based on the analysis of the AHP algorithm, the total scores for the direct mail import model, bonded stocking model, and general trade import model of H company are 27 points, 19 points, and 23 points, respectively. Therefore, it is recommended that company H choose the import model of direct mail import when conducting CBEC business.

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