From Chaos to Control: How Real-Time AI is Transforming Supply Chains
Supply chains are under constant pressure from unexpected disruptions—whether it’s port strikes, extreme weather, or sudden tariffs. For one manufacturer, these challenges came to a head when a delayed shipment halted production and drove up costs. By adopting a real-time AI assistant, the company gained instant visibility across systems, actionable insights, and the ability to make faster, smarter decisions.
Supply chain disruptions—whether caused by port strikes, sudden tariffs, or extreme weather—often leave procurement teams scrambling to catch up. Traditional dashboards and ERP tools, relying on historical data, make it hard to stay ahead.
One global manufacturer reached a breaking point when a five-day shipping delay triggered spiraling costs and production stoppages. To regain control, they deployed eRAG, a real-time AI assistant designed to unify data across silos, flag risks, and recommend immediate actions.
Now, procurement managers can ask plain-language questions like “Which shipments are at risk due to weather?” and receive instant insights and next steps. The results:
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40% drop in port storage costs through early customs issue detection
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Reduced production delays, keeping critical supply lines open
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Improved vendor performance tracking without manual spreadsheets
This shift has turned supply chain management from a reactive scramble into a proactive, strategic function—giving teams confidence and clarity in navigating global disruptions.
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