Management Information System based on Artificial Intelligence Technology

Abstract

Personalized suggestions, such as those based on a user’s search history, purchase history, or other online activity, are a common use of artificial intelligence. AI is used a lot in commerce to do things like optimize products, plan inventory, handle logistics, and more. In order to deal with the problems caused by cloud computing, big data, and AI, developers of modern information systems are adding AI to the platform for managing information. Natural language, intelligent processing, and established procedures are all components of artificial intelligence, a subfield of computer science. Since the inception of AI, there has been continuous development in both the underlying technology and the range of potential uses. The purpose of this essay is twofold: first, to investigate how AI may be useful in the management information system of the container transport industry, and second, to offer suggestions for how that system might be enhanced. K-means clustering is an approach that is proposed in this work. The efforts made in building the terminal management system have substantially benefited the fields of automation, intelligent planning, and integrated management. A lot of work has gone into improving the terminal management system, and it has paid off in the form of significant advances in areas like automation, intelligent planning, and integrated management. Mulesoft Anypoint, which relies heavily on the Navic information platform and GPS for its Internet connectivity, is also being implemented at the same time. Therefore, the CCR approach is employed to operate the multimodal transport virtual container while analyzing its performance under coproduction’s management. When sent in containers, as much as 98.5 % of goods arrive in one piece.