Using artificial intelligence to analyze SME e-commerce utilization and growth strategies

Abstract

With the rapid development of information technology, the application of e-commerce in small and medium-sized enterprises is becoming more and more extensive. E-commerce is a development direction, not a simple transaction method. E-commerce is widely used in financial, service, and retail industries. The addition of e-commerce has promoted the transformation of these industries to informationization. This study uses the analytical capabilities of artificial intelligence to analyze the utilization rate of e-commerce in smes. The article and research ideas are firstly using artificial intelligence to build an analysis model, and secondly, using the results of model analysis to explore the utilization rate of e-commerce in small and medium-sized enterprises. Finally, according to the current situation of e-commerce utilization rate of small and medium-sized enterprises, relevant growth strategies are put forward. This paper builds an e-commerce application analysis model based on artificial intelligence technology. After multi-layer verification, the model has good performance in theory and practice. Using this model to analyze the application rate of e-commerce in small and medium-sized enterprises, we can find that there are still the following problems in the application of e-commerce in small and medium-sized enterprises. (1) Lack of experience and lack of guiding standards (2) Lack of reasonable business strategies (3) Lack of offline interaction with users. In order to solve these problems, small and medium-sized enterprises should (1) strengthen publicity and innovation and promote brand marketing (2) strengthen the cultivation and construction of talents (3) optimize the industrial model and reduce industrial costs (4) improve the industrial model and marketing of e-commerce system.