Cross-border trade is an important component of the global economy, and as the scale of cross-border trade continues to expand, container supervision faces many challenges. This paper first clarifies the current status of container supervision in cross-border trade and the existing problems and then discusses in depth the application of AI technology in container supervision, and also analyzes the risks and challenges faced by the application of AI technology and looks forward to the future direction of development of AI technology in container supervision. This study aims to promote the widespread application of AI technology in container supervision, improve supervision level, and facilitate global trade through a combination of qualitative and quantitative research methods, with a large number of examples.