Artificial Intelligence" is the use of machines or software to think and make human intelligence-based decisions with the elimination of the error factor. Introduced by scientist John McCarthy in 1956, artificial intelligence is now being applied and used in all areas of business. Operations research has been the driving force behind decision-making for years. Artificial intelligence combined with operations research techniques is what businesses now are aiming to achieve to increase their efficiency and optimise their processes. This article aims to understand the extent of research already prevalent in this area, i.e. to which areas artificial intelligence and operations research processes have already been applied and to what extent. By understanding this the gaps existing in the area of study and the areas of possible future research can be identified. This article wishes to provide future academicians with a base for future research and make policymakers aware of how artificial intelligence and operations research techniques have been used in their areas of discipline and how they can aim to implement the same. Approach: Due to the extent of vast literature available in this study, a systematic review through bibliometric analysis has been adopted. This method was used to get a qualitative and quantitative analysis of the data available. The data consists of 300 articles published between 1990 and 2022 extracted from the Scopus database after using relevant keywords pertaining to artificial intelligence and operations research. Findings: Analysis of the papers in the dataset was done using citation analysis, page rank analysis, year-wise trends, source trends and co-occurrence network. By using these different analysis methods the current trends in publications were understood and further future possible areas of research were identified.