Analysis and Application of Enterprise Performance Evaluation of Cross-Border E-Commerce Enterprises Based on Deep Learning Model

Abstract

With the rise and gradual development of the Internet, today's era has been transformed into the information age. The network transaction mode has involved all levels. At the same time, a new business model is gradually emerging, that is, e-commerce enterprises. Compared with the traditional business model, e-commerce enterprises are more information technology, networking, and convenience. In the current cross-border e-commerce enterprise development model, e-commerce enterprise performance evaluation and application have always been a key concern. Based on the lag of performance calculation and analysis of cross-border e-commerce enterprises, this paper carries out experimental analysis by combining the in-depth learning model. The results of the experiment are as follows: (1) it analyzes the growth situation of overseas Internet sales enterprises, determines the research direction of the experiment, puts forward the construction principles of the performance index system of overseas Internet sales enterprises, and constructs the performance evaluation system of overseas Internet sales enterprises according to the principles, to ensure the reliability of data and effectiveness of performance accounting. (2) On the basis of retaining the traditional performance calculation and evaluation mode of cross-border e-commerce enterprises, the in-depth learning mode is integrated into the performance evaluation process of overseas Internet sales enterprises. Using the in-depth learning mathematical algorithm combined with the enterprise performance calculation algorithm of cross-border e-commerce enterprises can not only ensure the effectiveness of performance calculation but also classify more quickly, facilitate the later use, and reduce the pressure on business enterprise enterprises.

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