SHS Web of Conferences (Jan 2023)

Application of data analysis in product selection of cross-border e-commerce

  • Luo Aling,
  • Long Lanruoyun,
  • Wang Yue

DOI
https://doi.org/10.1051/shsconf/202316601039
Journal volume & issue
Vol. 166
p. 01039

Abstract

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In order to better understand the relationship between data analysis and cross-border selection, and apply the practical application skills of cross-border selection better. The author sorted out several commonly used analysis tools, analysis the steps and the methods of cross-border e-commerce. This paper mainly introduces the role of cross-border e-commerce product selection and the application of data analysis in cross-border e-commerce product selection. At the same time, this paper also analyzed three techniques of data analysis in cross-border e-commerce product selection. Cross-border selection is the basis of cross-border e-commerce operation. In the process of scientific selection, it is necessary to judge the potential of products through data analysis. Correct selection can not only save time, the most important is to improve the efficiency and effect of product operation. There is still a saying circulating in the cross-border e-commerce industry: seventy percent depend on the selection of products, thirty percent depend on operation.