Abstract

Ensuring compliance and operational quality across large and geographically dispersed retail networks presents significant governance challenges due to fragmented data systems, inconsistent supplier practices, and varying regulatory landscapes. This study proposes a comprehensive Supply Chain Governance Model (SCGM) designed to enhance compliance, accountability, and operational performance throughout multi-tier retail supply chains. The model integrates data-driven governance principles with strategic oversight mechanisms to ensure transparency, traceability, and continuous improvement across procurement, logistics, and distribution functions. By embedding governance indicators within key operational processes, the framework supports proactive compliance management and consistent service quality across diverse retail locations.The SCGM consists of four interrelated layers: policy alignment, data intelligence, compliance monitoring, and performance optimization. The policy alignment layer harmonizes corporate, regional, and supplier-level standards through a unified compliance framework. The data intelligence layer leverages advanced analytics and real-time dashboards to capture performance deviations and risk indicators. The compliance monitoring layer employs AI-assisted auditing and digital verification tools to assess supplier performance, product quality, and ethical adherence. Finally, the performance optimization layer applies predictive analytics to refine procurement cycles, reduce non-compliance incidents, and improve operational efficiency. Together, these layers create a feedback ecosystem where policy, data, and performance interact dynamically to strengthen supply chain integrity.A pilot deployment within a multinational retail network demonstrated measurable outcomes: 25% improvement in compliance reporting accuracy, 18% reduction in supplier-related disruptions, and 20% increase in quality assurance consistency across regional warehouses. These results highlight the framework’s potential to balance efficiency and governance in complex, fast-moving consumer goods (FMCG) environments. The study concludes that integrating data-driven governance into supply chain operations not only mitigates risk but also fosters a culture of accountability and continuous performance improvement. The model provides a scalable roadmap for retailers seeking to enhance operational quality while maintaining regulatory compliance in a globally interconnected marketplace.