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AI-Powered Supply Chain Resilience: Enhancing Visibility, Predicting Risks, and Driving Sustainability

· Source: tataelxsi.com

In short

The article explores how AI enhances supply chain resilience by improving visibility, predicting risks, and driving sustainability. It highlights AI's role in aggregating fragmented data, forecasting disruptions, and optimizing operations for efficiency and environmental impact. Specific applications like predictive analytics, digital twins, and demand forecasting are discussed as key enablers of modern supply chains.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 21, 2025: Agentic AI and Robotics Drive Autonomous, Agile Supply Chains in 2025

Tags: visibility, predictive-analytics, sustainability, risk-management, digital-twins, optimization

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