In recent years, cross-border e-commerce has made great progress in the country and has achieved certain results, but it still faces problems such as target group identification and consumer preference prediction, global logistics and data security. In view of the above reasons, based on the current status of domestic cross-border e-commerce development, this article summarizes the existing problems and combines the application of big data technology to give some suggestions for solving China's cross-border e-commerce problems.