Multi resource inventory automatic coordination model of Supply Chain Based on Artificial Intelligence

Abstract

Aiming at the problem of measuring the degree of supply chain resource coordination, based on the synergetics theory, an artificial intelligence based supply chain multi resource inventory automatic coordination model is constructed. By constructing five index systems of supply chain logistics, capital flow, information flow, market flow and management flow of artificial intelligence, this paper makes an empirical study on the application of the model. The results show that the measurement model of the degree of supply chain resource coordination can reflect the degree and trend of the coordinated development of the supply chain system, and the specific reasons for the low degree of supply chain coordination can be found through the analysis, which is conducive to the targeted and fundamental improvement of enterprises. The supply chain multi resource inventory automatic coordination model based on artificial intelligence not only makes up for the lack of qualitative research in the existing coordination degree model, but also has great significance for guiding the actual operation of the supply chain.