The Impact of Integration Artificial Intelligence into Supply Chain Management: A Scoping Review

Background: Artificial Intelligence is an implementation aimed at improving efficiency from various angles, particularly in terms of business competitiveness. Artificial Intelligence not only enhances operational efficiency and enables demand forecasting, but from other perspectives, it also has a positive impact on communication, organizational readiness, sustainability, collaboration, finance, transparency, and product quality. Methodology: This scoping review evaluates the effects of implementing Artificial Intelligence in supply chain management, providing insights into its viability and advantages. This study utilises two databases, Web of Science (WoS) and Scopus, to ascertain the characteristics of the published scientific literature on this subject and the growing topics associated with Artificial Intelligence in supply chain management. Result: Utilising Arksey and O'Malley's technique, the findings underscore the impact of Artificial Intelligence on improving organisational efficacy. This emphasises impact as a dominant subject. The study suggests that most of the studies aim to comprehend the impact of Artificial Intelligence on supply chain management. Conclusion: This study provides a comprehensive overview of how Artificial Intelligence is shaping the present and future of supply chain management. It offers essential insights for researchers, practitioners, and decision-makers engaged in this dynamic and rapidly evolving field.