Supply chain disruption has become a serious world's problem during the past few years. Many businesses lose their customers due to late delivery or shortage of raw materials. Thus, it is necessary to look for expert systems to handle such issues. The paper presents a scientometrics survey on the role of artificial intelligence on supply chain management. The study uses the Scopus database to collect data from 1995 to 2022. The study collects nearly 750 articles which are sorted based on their citation records. Using some scientometric tools, the study has determined that the decision support system has been the most important tool to handle disruption in supply chain management. Moreover, the study shows that most studies were accomplished in North America, and some were partnerships with China. The study also detected nine groups of researchers who contributed the most in the supply chain. Moreover, the study discusses the concept of uncertainties associated with mathematical modeling associated with supply chain management and categorizes different works according to the methods used to handle the uncertainties. Finally, the study explains some of the recent developments of the implementation of artificial intelligence in various areas of supply chain management such as waste management, blood supply chain, etc. The results indicate that artificial neural networks are the most popular technique used among researchers to provide more efficient solutions for supply chain management.