Isiyaku, Abdullahi and Lawal, Simbiat Atinuke and Ifiora, Kevin Nnaemeka and Ajadi, Abiodun Saheed (2025) Integrating smart vendor analytics and offline compatible ERP systems for real-time supply chain visibility in low infrastructure environments. World Journal of Advanced Research and Reviews, 27 (2). pp. 1384-1399. ISSN 2581-9615
Abstract
The convergence of smart vendor analytics with offline-compatible Enterprise Resource Planning (ERP) systems represents a paradigmatic shift in supply chain management, particularly addressing the critical challenges faced in low infrastructure environments. This comprehensive research review examines the integration mechanisms, technological frameworks, and operational strategies that enable real-time supply chain visibility despite connectivity constraints and resource limitations. By analyzing the intersection of advanced analytics, edge computing capabilities, and resilient ERP architectures, this study reveals how organizations can achieve supply chain transparency and operational efficiency in environments characterized by intermittent connectivity, limited technological infrastructure, and resource constraints. The investigation explores the multifaceted implications of smart analytics integration, demonstrating the capacity to transform supply chain operations through intelligent data processing, predictive insights, and adaptive system architectures that maintain functionality regardless of connectivity status. Through systematic analysis of empirical evidence and theoretical frameworks, this review illuminates the transformative potential of integrated smart analytics and offline-compatible ERP systems to create resilient supply chain ecosystems that transcend traditional infrastructure limitations and establish new paradigms of operational excellence in challenging environments.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.27.2.3001 |
Uncontrolled Keywords: | Smart Vendor Analytics; Offline ERP Systems; Supply Chain Visibility; Low Infrastructure Environments; Edge Computing; Real-Time Analytics; Supply Chain Resilience |
Date Deposited: | 15 Sep 2025 06:19 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/6303 |