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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17719015
Primary Topic
ERP Systems Implementation and Impact
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
ERP Systems Implementation and Impact
article

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

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Central Missouri (US), ABS Consulting (United States) (US), Auburn University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
ERP Systems Implementation and Impact
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