Example Concept: AI-driven supply chain systems use predictive analytics to analyze historical data and identify patterns that indicate potential disruptions. By integrating real-time data from IoT devices and market trends, AI models can forecast demand changes and suggest optimal inventory levels. This proactive approach allows businesses to adjust their supply chain strategies dynamically, ensuring continuity and minimizing risks in unpredictable markets.