Supply chain professionals cannot visualize and predict cascading disruption effects across global trade networks

Supply chain managers, energy traders, and policy analysts lack accessible tools to model how localized disruptions (port closures, geopolitical events, sanctions) propagate through interconnected global networks and create secondary shocks in seemingly unaffected regions. Current solutions either oversimplify network effects or require expensive proprietary modeling software that doesn't capture bilateral trade dynamics and reserve depletion mechanics.