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Artificial intelligence (AI) is transforming supply chain optimization by enhancing efficiency, visibility, and decision-making. A comprehensive framework presented by Arvindan Badrinarayanan outlines how organizations can strategically implement AI to navigate complex supply chains. This research provides actionable insights for addressing key challenges and achieving operational excellence in a dynamic global marketplace.
AI-driven predictive analytics significantly improves demand forecasting accuracy, reducing inventory waste and enhancing responsiveness. The integration of IoT devices further boosts operational visibility, while AI-powered inventory management systems optimize stock levels and reduce costs. Overall, the framework emphasizes the importance of ethical AI practices and sustainability in future supply chain operations.
• AI improves demand forecasting accuracy by up to 45%.
• IoT integration enhances operational visibility and decision-making speed.
Predictive analytics uses historical data and machine learning to forecast future trends and demands.
IoT integration involves using connected devices to gather real-time data for improved supply chain visibility.
Adaptive AI systems evolve with real-time data to enhance decision-making and operational resilience.
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