Example Concept: When implementing AI in supply chains, enterprises must ensure data accuracy and consistency, as AI models rely heavily on high-quality data for effective decision-making. Additionally, integrating AI systems with existing ERP and logistics platforms can be complex, requiring robust API connections and data harmonization. Companies should also prepare for potential disruptions by conducting thorough testing and having contingency plans to maintain operations during the transition.