{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-supply-chain-risk",
  "headline": "AI for Supply Chain Risk: Disruption Prediction, Supplier Monitoring, and Resilience Analytics",
  "description": "AI predicts supply chain disruptions before they happen -- monitoring millions of signals for factory fires, port strikes, and supplier bankruptcies across multi-tier global supply chains. From Resilinc to o9 Solutions, AI supply chain risk management transforms reactive firefighting to proactive resilience.",
  "dateCreated": "2026-05-24T02:49:13.572Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Machine Learning for Supply Chain Risk Management: Disruption Prediction, Supplier Analytics, and Resilience Optimization (2024-2025 Survey)",
      "sameAs": "https://arxiv.org/search/?query=supply+chain+risk+AI+disruption+prediction"
    },
    {
      "@type": "CreativeWork",
      "name": "Digital Twin Supply Chains: Simulation, What-If Analysis, and AI-Driven Resilience Planning",
      "sameAs": "https://arxiv.org/search/?query=supply+chain+digital+twin+simulation"
    }
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}