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Developing a Cloud-Based Inventory Management Model for Data Synchronization and Operational Efficiency in SMEs
Subject area: Science,Engineering and Technology · Area of research: SMEs
DOI: https://doi.org/10.64388/IREV1I12-1713059
Abstract
Small and Medium-Sized Enterprises (SMEs) increasingly rely on digital technologies to enhance operational efficiency, real-time visibility, and supply chain responsiveness. However, many SMEs continue to face challenges such as data fragmentation, inaccurate stock records, delayed reporting, and limited scalability in traditional inventory management systems. This review explores the evolution, architecture, and performance implications of cloud-based inventory management models designed to improve data synchronization and operational efficiency for SMEs. Drawing from empirical studies, industry case analyses, and recent technological developments, the paper examines the role of cloud computing, IoT-enabled tracking, API-driven integrations, and automated data synchronization in streamlining inventory workflows. The review further highlights critical success factors?including security, cost-effectiveness, interoperability, and user adoption?that influence cloud deployment outcomes. The study presents a synthesized conceptual model that illustrates how cloud-based platforms can optimize stock monitoring, forecasting accuracy, decision-making speed, and overall business continuity. This work contributes by offering a comprehensive foundation for future research and by providing practical insights for SMEs transitioning toward cloud-enabled inventory ecosystems.
Keywords
Cloud-based Inventory Management, Data Synchronization, Operational Efficiency, Small and Medium Enterprises (SMEs), Supply Chain Digitization, Real-Time Inventory Visibility.
How to cite this paper
@article{1713059,
author = {Winner Mayo, Jolly I. Ogbole, Precious Osobhalenewie Okoruwa, Taiwo Oyewole},
title = {Developing a Cloud-Based Inventory Management Model for Data Synchronization and Operational Efficiency in SMEs},
journal = {Iconic Research And Engineering Journals},
year = {2018},
volume = {1},
number = {12},
pages = {120-140},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713059.pdf},
abstract = {Small and Medium-Sized Enterprises (SMEs) increasingly rely on digital technologies to enhance operational efficiency, real-time visibility, and supply chain responsiveness. However, many SMEs continue to face challenges such as data fragmentation, inaccurate stock records, delayed reporting, and limited scalability in traditional inventory management systems. This review explores the evolution, architecture, and performance implications of cloud-based inventory management models designed to improve data synchronization and operational efficiency for SMEs. Drawing from empirical studies, industry case analyses, and recent technological developments, the paper examines the role of cloud computing, IoT-enabled tracking, API-driven integrations, and automated data synchronization in streamlining inventory workflows. The review further highlights critical success factors?including security, cost-effectiveness, interoperability, and user adoption?that influence cloud deployment outcomes. The study presents a synthesized conceptual model that illustrates how cloud-based platforms can optimize stock monitoring, forecasting accuracy, decision-making speed, and overall business continuity. This work contributes by offering a comprehensive foundation for future research and by providing practical insights for SMEs transitioning toward cloud-enabled inventory ecosystems.},
keywords = {Cloud-based Inventory Management, Data Synchronization, Operational Efficiency, Small and Medium Enterprises (SMEs), Supply Chain Digitization, Real-Time Inventory Visibility.},
month = {June},
doi = {https://doi.org/10.64388/IREV1I12-1713059}
}