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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 supplychainresilience.
This shift has pushed supplychain leadership to pivot from reactive management to proactive strategy built on data. Midstream, routeoptimization and production planning benefit from real-time telemetry data, AI-enhanced maintenance forecasting, and dynamic capacity modeling. Not sure where your supplychain stands?
The Manufacturing SupplyChain Journey through AI and Automation Manufacturing SupplyChains Explained The manufacturing supplychain comprises all the processes a business uses to turn raw materials and components into final products that are ready to be sold to customers, whether these are consumers or other businesses.
As a result, it remained profitable, gained market share, and became a leading example of recession-resilientsupplychain management (Saxena & Sharma, 2011). Diversifying the supplier base, especially for critical materials, enhances resilience.
Deep knowledge of procurement, sourcing, vendor management, and category management in different categories. Vera has delivered programs on “SupplyChainResilience,” “Risk Management,” “Procurement Digitalization”, “Procurement Transformation”, “Category Strategies”, “SRM,” and other topics.
A key area where the impact of AI is most notably observed is in routeoptimization. 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.
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