This ebook describes the evolution of supply chain risk management from reactive data overload to proactive, AI-driven precision. It outlines three phases that organizations typically experience when managing disruption: first identifying what has happened, then understanding why it matters, and finally deciding what action to take. Traditional approaches rely on fragmented alerts and manual interpretation, often arriving too late to prevent impact. The guide shows how modern risk management uses connected data, real-time visibility, and artificial intelligence to detect risks earlier, assess their business impact, and recommend targeted actions. By moving through these phases, companies transform risk management into a faster, more confident, and predictive capability that protects contin

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