The Supply Chain Flight Simulator: AI-Driven Digital Sandboxes for Disruption Forecasting, Stress Testing, and Faster Decisions

Supply chains don’t fail politely—port congestion, supplier delays, and transport bottlenecks cascade into missed SLAs, expedited freight, and margin erosion. This talk introduces the “Supply Chain Flight Simulator” approach: AI-driven digital sandboxes that let teams rehearse disruption scenarios, quantify impact, and choose actions before real operations are hit. I’ll showcase ResilienceXAI, a practical resilience platform driven by Agentic AI that combines scenario simulation, risk signals, and predictive models to stress-test multi-node networks under “what-if” events (closures, demand shocks, capacity drops) and output decision-ready metrics such as delay probability, service-level degradation, cost-to-serve inflation, and recovery time. You’ll see how teams can move from static spreadsheets to an interactive experimentation loop and generate scenarios, run simulations, compare policies, and learn where the network breaks first. The session closes with a playbook for piloting a flight-simulator mindset in your organization: data requirements, model choices, governance, and how to measure ROI through faster decisions and fewer surprise disruptions.