The limitations of AI and ML in supply chain include the need for high-quality, comprehensive data, the complexity of integrating with existing systems, the potential for algorithmic biases, and the significant investment required for implementation and ongoing maintenance. Additionally, AI and ML solutions may struggle with handling unexpected events and anomalies outside of their training data.