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

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.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-08-22
DOI
https://doi.org/10.30574/wjarr.2025.27.2.3001
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Simbiat Atinuke Lawal, Abdullahi Isiyaku, Kevin Nnaemeka Ifiora, Abiodun Saheed Ajadi
World Journal of Advanced Research and Reviews
Software System Performance and Reliability
article

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

Simbiat Atinuke Lawal, Abdullahi Isiyaku, Kevin Nnaemeka Ifiora, Abiodun Saheed Ajadi
article en

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.

World Journal of Advanced Research and ReviewsVol. 27(2)
Openalex Percentile: Top 76%
Software System Performance and Reliability
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