Manuscript Number : IJSRSET2215479

IoT-Enabled Real-Time Data Integration in ERP Systems

Authors(1) :-Naveen Kumar

The emergence of the Internet of Things (IoT) has revolutionized companies by facilitating real-time data collecting, processing, and decision-making among networked devices. Traditional Enterprise Resource Planning (ERP) systems have difficulties in assimilating extensive, varied, and rapid IoT data streams, leading to inefficiencies in decision-making, resource management, and operational performance. This article delineates critical obstacles, such as data synchronization, scalability, and security, that hinder the smooth integration of IoT with ERP systems. This paper offer a complete architecture for the integration of IoT-enabled real-time data into ERP systems to tackle these difficulties. The framework utilizes sophisticated middleware solutions, machine learning techniques, and edge computing to provide efficient data processing, synchronization, and actionable insights. Real-time dashboards and analytical tools are designed to improve user engagement and support informed decision-making. The suggested methodology was assessed using a real-world IoT-enabled ERP dataset, resulting in notable enhancements in predictive accuracy and operational analytics. Machine learning models like XGBoost had exceptional performance, attaining an accuracy of 98.51%, precision of 98.69%, and excellent recall and F1-score metrics. These outcomes underscore the framework's capacity to convert ERP systems into dynamic, adaptable platforms that meet contemporary corporate requirements. Future endeavors will concentrate on resolving interoperability, scalability, and data security issues to optimize the advantages of IoT-ERP integration for enterprises.

Authors and Affiliations

Naveen Kumar
Salesforce Inc., Dallas, Texas, USA

Internet of Things (IoT), Enterprise Resource Planning (ERP), Real-Time Data Integration, Digital Transformation, IoT-ERP Integration Architecture, Predictive Analytics and Operational Efficiency.

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Publication Details

Published in : Volume 9 | Issue 6 | November-December 2022
Date of Publication : 2022-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 393-410
Manuscript Number : IJSRSET2215479
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Naveen Kumar , " IoT-Enabled Real-Time Data Integration in ERP Systems, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 6, pp.393-410, November-December-2022. Available at doi : https://doi.org/10.32628/IJSRSET2215479      Journal URL : https://res.ijsrset.com/IJSRSET2215479

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