Intelligent Supply Chain Risk Management Through Blockchain, ERP, and Predictive Analytics

Abstract

Global supply chains are increasingly exposed to operational disruptions, cyber threats, supplier failures, transportation delays, inventory shortages, and market uncertainties that significantly impact organizational performance. Enterprise Resource Planning (ERP) systems support procurement, manufacturing, logistics, finance, and inventory operations; however, traditional centralized architectures often lack real-time risk assessment, predictive decisionmaking, and secure cross-organizational information sharing. Integrating blockchain technology with predictive analytics enables trusted transaction management and intelligent risk forecasting across interconnected supply chain networks. This paper proposes an Intelligent Supply Chain Risk Management Framework that combines Enterprise Resource Planning (ERP), permissioned blockchain, predictive analytics, smart contracts, distributed identity management, and cloud-based monitoring to proactively identify, evaluate, and mitigate supply chain risks. The proposed architecture provides immutable transaction records, automated compliance verification, realtime operational monitoring, and predictive risk analysis while preserving existing ERP infrastructure. The framework enhances supply chain resilience, transparency, supplier accountability, and strategic decision-making, enabling organizations to minimize disruptions, improve business continuity, strengthen regulatory compliance, and establish secure collaboration across modern digital enterprise ecosystems. Keywords— Supply Chain Risk Management, Enterprise Resource Planning, Blockchain, Predictive Analytics, Smart Contracts, Digital Supply Chain, Risk Prediction, Enterprise Information Systems.