Enterprise Supply Chain Risk Prediction Model

Develop a comprehensive supply chain risk prediction model integrating heterogeneous data sources including historical procurement logs, geopolitical indices, currency fluctuation data, and supplier performance metrics. Implement an ensemble machine learning approach using stacked generalization, create a probabilistic risk scoring mechanism, and design an interactive visualization dashboard showing potential disruption scenarios with confidence intervals.