Enhancing Supply Chain Security with AI and ML Innovations

Abstract

Enhancing supply chain security through AI and ML innovations represents a transformative leap forward in safeguarding global commerce. By leveraging artificial intelligence and machine learning, organizations can proactively detect vulnerabilities, predict disruptions, and optimize logistical efficiencies. These technologies enable real-time monitoring of supply chain operations, identifying anomalies and potential risks before they escalate. By integrating AI-driven anomaly detection with predictive analytics, businesses can streamline inventory management, enhance traceability, and ensure the integrity of goods from origin to destination. This holistic approach not only fortifies against cyber threats and physical breaches but also fosters resilience, agility, and sustainable growth across interconnected global supply networks.