AI-Enabled Decision Support Systems for Supply Chain Management: A Systematic Literature Review

This work outlines the review of the role of Artificial Intelligence (AI) in improving Decision Support Systems (DSS) for value chain management and its planning. Complex and uncertain environment of global value chains have diminished the effectiveness of conventional approaches, recommending AI-allowed DSS for more adaptive and data-driven decision-making procedures. These DSSs enhance forecasting robustness, resource allocation, and strategic as well as operational decisions. The related researches focus on the key AI technologies namely machine learning, predictive analytics, and optimization frameworks. They improve decision making effectiveness in areas like reverse logistics and recovery planning while also supporting goals. AI also brings transparency, trust and accountability into decision making processes. In addition AI-powered decision support systems help create resilient and competitive value chains. Still there are challenges. These include system integration and the need, for more human-centered and sustainability-focused designs.