ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN RISK MANAGEMENT: A SYSTEMATIC LITERATURE REVIEW
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The increasing complexity and uncertainty in global supply chains have intensified the need for effective risk management strategies. In recent years, Artificial Intelligence (AI) has emerged as a transformative technology capable of enhancing the identification, prediction, and mitigation of supply chain risks. This study conducts a systematic review of existing literature to examine the role of AI in supply chain risk management. Using a structured review approach, relevant research articles published between 2015 and 2025 were collected from major academic databases and screened based on predefined inclusion and exclusion criteria. The review aims to synthesize the existing body of knowledge on how AI technologies such as machine learning, predictive analytics, and big data analytics are applied to manage disruptions and uncertainties in supply chains. Furthermore, the study identifies the dominant research themes, technological applications, and methodological approaches adopted in previous studies. The findings highlight the growing integration of AI-driven tools in areas such as demand forecasting, disruption prediction, supplier risk evaluation, and decision support systems. Despite the increasing attention to AI-based solutions, the review also reveals several research gaps related to implementation challenges, data quality issues, and integration with traditional risk management practices. The study provides a comprehensive understanding of the current research landscape and offers directions for future studies in AI-enabled supply chain risk management.
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S, S. (2026). Artificial Intelligence in Supply Chain Risk Management: A Systematic Literature Review. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.033
S, Senthil. "Artificial Intelligence in Supply Chain Risk Management: A Systematic Literature Review." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.033.
S, Senthil. "Artificial Intelligence in Supply Chain Risk Management: A Systematic Literature Review." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.033.
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