Abstract: The intersection of technology and supply chain management (SCM) in the oil and gas industry represents a critical focal point for enhancing operational efficiency, reducing costs, and improving overall supply chain performance. This study explores the transformative impact of advanced technologies such as the Internet of Things (IoT), predictive analytics, and artificial intelligence (AI) on SCM practices within the industry. By conducting a systematic literature review, the research identifies key themes and patterns that highlight the benefits, challenges, and best practices associated with technological integration. The findings reveal that IoT enables real-time monitoring and predictive maintenance, blockchain enhances data integrity and security, and AI optimizes demand forecasting and decision-making processes. Additionally, the study addresses the significant challenges faced by the industry, including high initial investment costs, skill shortages, and cybersecurity risks. By adopting phased implementation strategies, fostering collaboration, and adhering to regulatory standards, the oil and gas sector can successfully leverage these technological advancements. The insights gained from this research provide a comprehensive understanding of how technology can be harnessed to achieve a more efficient, transparent, and resilient supply chain, offering valuable lessons for other industries, including healthcare logistics.

Keywords: Artificial Intelligence, Supply Chain, Investment Costs and Internet of Things.

| DOI: 10.17148/IARJSET.2024.11222