Supply chains still spend enormous time reacting to disruptions, quality issues, material shortages, transportation delays, or capacity constraints. This panel explores how advanced analytics, predictive models, and automation are enabling proactive, not reactive, decision-making. Panelists will discuss where predictive tools are already delivering value, the technologies gaining traction (control towers, digital twins, anomaly detection engines), and what it takes to redesign exception workflows end-to-end.

• Transition from manual issue resolution to predictive detection and automated prevention
• Embed AI insights into workflows using digital twins, control towers, and smart alerts
• Reduce operational firefighting by redesigning exception-handling processes around data-driven triggers