THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON SUPPLY CHAIN DECISION-MAKING IN SAUDI ARABIA

Abstract

This study investigates the adoption and impact of AI-driven demand forecasting in supply chain management, emphasizing the transformative potential of artificial intelligence (AI) in improving operational efficiency, forecast accuracy, and inventory management. With the increasing complexity of modern supply chains and the need for more accurate predictions, organizations are turning to AI technologies to address challenges such as market volatility, fluctuating consumer demands, and supply chain inefficiencies. For the study, a quantitative method is used to find out what stakeholders think and have experienced about how Artificial Intelligence (AI) effects on Supply Chain Decision-Making in Saudi Arabia.   A full review of the literature will be done to find the most important theories, ideas, and real-world studies on how to use Artificial Intelligence (AI) to improve Supply Chain Decision-Making in Saudi Arabia.   It will be used to make a structured questionnaire with the information from the literature study. On a 5-point Likert scale, where 1 means "strongly disagree" and 5 means "strongly agree," people will be asked to rate how much they agree or disagree with each statement. The results of the research provided strong proof in favor of the presumptions that Artificial Intelligence (AI) had a significant and positive impact on Supply Chain Decision-Making.  More precisely, it was found that Internet of Things, Data Analytics, Sensors and Drones impact significantly on Supply Chain Decision-Making.  This study emphasizes the important part effective Artificial Intelligence (AI) Technologies have in improving Supply Chain Decision-Making in Saudi Arabia.