Global supply chains are increasingly complex, exposing organizations to regulatory, operational, and reputational risks associated with vendor non-compliance. Traditional manual auditing processes are resource-intensive and often reactive, limiting the ability to identify risks in real time. This paper presents a vendor compliance monitoring and automated auditing framework designed to enhance accountability and operational transparency in global procurement networks. The framework integrates real-time data analytics, automated compliance checks, and predictive risk scoring to provide actionable insights for procurement managers. By leveraging digital tools and advanced analytics, organizations can reduce audit costs, improve supplier performance, and proactively mitigate compliance risks. A simulated implementation across multinational procurement networks demonstrates measurable improvements in vendor adherence, audit efficiency, and accountability metrics. The study concludes with recommendations for integrating automated monitoring systems into existing supply chain management practices to achieve sustained compliance and operational resilience.
Alao et al. (Wed,) studied this question.