Remove Risk management Remove Route optimization Remove Supply chain resilience
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Agentic AI in Supply Chains: The Future of Decision Making

SCMDOJO

They can proactively identify risks, optimize processes in real time, and even negotiate supplier contracts without human oversight. These AI agents leverage real-time data, predictive analytics, and generative AI to enhance resilience, reduce costs, and improve overall efficiency in AI-driven supply chain resilience.

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How AI and Automation are Transforming Manufacturing Supply Chains

Jaggaer

Tools and methods used include real-time tracking, RFID, and AI-driven route optimization. Manufacturing & production planning (often linked to material management) coordinates assembly line scheduling, workforce allocation, and resource planning. AI-powered risk management platforms can predict disruptions (e.g.,

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The Rise of Women in Supply Chain: Career Choice

SCMDOJO

Key competencies: Direct & indirect materials Function Strategy & transformation Digitalization ESG Risk management Supplier Relationship management She is an invited lecturer and Award-Winning Speaker, nominated for ‘Best Procurement CPOs – Russia’ list.

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Top 9 Logistics Trends to Watch Out for in 2025

SCMDOJO

A key area where the impact of AI is most notably observed is in route optimization. AI algorithms possess the capability to analyze real-time traffic patterns, prevailing weather conditions, and intricate delivery schedules to determine the most efficient routes for transportation.