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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Integrating smart vendor analytics and offline compatible ERP systems for real-time supply chain visibility in low infrastructure environments

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  • Integrating smart vendor analytics and offline compatible ERP systems for real-time supply chain visibility in low infrastructure environments

Abdullahi Isiyaku 1, Simbiat Atinuke Lawal 2, *, Kevin Nnaemeka Ifiora 3 and Abiodun Saheed Ajadi 4

1 Raymond J. Harbets College of Business, Auburn University, Alabama, U.S.A.

2 University of Central Missouri, Warrensburg U.S.A.

3 Boston Consulting Group, Houston, Texas, U.S.A.

4 Department of Industrial and Systems Engineering, Auburn University, Alabama, U.S.A.

Review Article

World Journal of Advanced Research and Reviews, 2025, 27(02), 1384-1399

Article DOI: 10.30574/wjarr.2025.27.2.3001

DOI url: https://doi.org/10.30574/wjarr.2025.27.2.3001

Received on 10 July 2025; revised on 17 August 2025; accepted on 19 August 2025

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.

Smart Vendor Analytics; Offline ERP Systems; Supply Chain Visibility; Low Infrastructure Environments; Edge Computing; Real-Time Analytics; Supply Chain Resilience

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-3001.pdf

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Abdullahi Isiyaku, Simbiat Atinuke Lawal, Kevin Nnaemeka Ifiora and Abiodun Saheed Ajadi. 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, 2025, 27(2), 1384-1399. Article DOI: https://doi.org/10.30574/wjarr.2025.27.2.3001

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