Abdulnaser S. H. Al-MSloum, International Journal of Advanced Trends in Computer Science and Engineering, 9(2), March - April 2020, 1050 – 1055 1050 ABSTRACT One of the most important areas of application of artificial intelligence is the emerging supply chain management philosophy. It requires an understanding of complex and interrelated decision-making processes and the creation of intelligent knowledge bases necessary to solve common problems, such as synchronizing a series of interrelated but different stages of joint demand planning, forecasting processes in the supply chain, and predicting the final customer’s request by exchanging information between multiple supply chain partners and learning from past prediction experience. This ultimately aims to develop the logistics sector so that the Kingdom becomes a global logistics centre in line with current trends. A rule in supply chain management in the Kingdom is to reach Vision 2030 and the importance of the current study is in revealing the most appropriate subfields of the most suitable artificial intelligence for supply chain management applications and identifying areas for the application of potential supply chain management that have not been explored, to serve the goals of the Kingdom's 2030 vision. This is aimed at making the Kingdom a global logistics centre in line with modern trends. In the management of supply chains in the Kingdom to reach Vision 2030, the current study aimed to identify sub-fields of artificial intelligence most suitable for supply chain management applications and then distinguish those sub-fields in terms of their usefulness to improve the efficiency of supply chains. Existing literature have dealt with applications of artificial intelligence to supply chain management with regard to its practical implications and technical advantages. The study reached a number of recommendations, the most important of which is the necessity of conducting workshops on the right foundations of supply chain management and the role of artificial intelligence in its follow-up and seminars between managers to encourage them to employ artificial intelligence to maximize supply chain management efficiency. Key words : Artificial Intelligence, Supply Chain, Kingdom Vision 2030. 1. INTRODUCTION In an era of increasing uncertainty of demand, high supply risk, and increased competitive intensity, excellence in the supply chain hinges on the ability of the organization to integrate and organize a full range of inclusive operations to acquire materials or components, and to provide the goods required in the form required, and deliver it to customers [1]. Since this capacity can be enhanced by increasing the clarity of permanent supply chain operations, many leading organizations have tried to enrich their own sources of information and share real-time information with their supply chain partners [2]. Thus, supply chain management has become more information intensive and has focused on replacing assets (e.g., inventory, warehouses and transport equipment) with information, and recognizing the increasing importance of information for the success of the supply chain, which specialists have explored to improve information management and make better business decisions [3]. One of these methods may include artificial intelligence, which has existed for decades, but has not been fully used in supply chain management. Artificial intelligence is generally referred to as the use of computers to think or learn about patterns or learn some behaviours; it also entails the acquisition of knowledge and retention and development of different types of inferences to solve problems in the realities of the solution that exist in the real world [4]. Simply put, the main goal here is to use artificial intelligence in the understanding of human intelligence and the design of computer systems that can simulate patterns of human behavior and create knowledge related to problem solving. Therefore, artificial intelligence must have the ability to learn and understand new concepts, and learn from experience (“subjectivity”), the performance of thinking, drawing conclusions, the implicit meaning, and the interpretation of symbols in context. As a result of this ability, artificial intelligence has been applied successfully in fields such as electronic games, semantic modelling, modelling of human performance, robots, machine learning, data, intelligence, and networks (data, networks) [4]. The Role of Artificial Intelligence in Supporting the Supply Chain, According to the Kingdom's Vision 2030 Abdulnaser S. H. Al-MSloum University of Jeddah “Business Collage -Al-kamil Branch” Jeddah, Saudi Arabia asalem2@uj.edu.sa ISSN 2278-3091 Volume 9 No.2, March -April 2020 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse23922020.pdf https://doi.org/10.30534/ijatcse/2020/23922020