Article: Enhancing organisational efficiency using intelligent ERP decision Journal: International Journal of Computer Applications in Technology (IJCAT) 2026 Vol.78 No.7 pp.27 - 41 Abstract: Enterprise Resource Planning (ERP) stands out as a viable solution, recognising its potential to elevate organisational efficiency. Organisations continue to face challenges in selecting the right ERP systems and often struggle with integrating ERP systems and Artificial Intelligence (AI) technologies. This integration issue leads to inefficient decision-making due to less responsive ERP systems. Additionally, managing the collected data and transforming it into actionable insights for informed decision-making through ERP systems remains a difficult task. Thus, the study focuses on enhancing decision-making using an intelligent ERP system. The proposed method implements a dataset obtained by surveying ERP consultants across different industry verticals worldwide. This dataset is then applied to a decision tree to generate rules, and other machine learning algorithms are tested for their performance. The results show excellent performance of decision trees, while Linear SVM, Efficient Logistic Regression, Efficient Linear SVM, and SVM Kernel are compared with this performance. The deployment shows matched cases across industry verticals and geographic regions, achieving a high accuracy of 81.5%. Additionally, the Speed of Operation, Flexibility, and Cost Efficiency are significantly improved, highlighting the importance of the intelligent ERP system in enhancing organisational efficiency. Inderscience Publishers - linking academia, business and industry through research

Title: Enhancing organisational efficiency using intelligent ERP decision

Authors: Amol S. Kalgaonkar; Pallavi Vijay Chavan

Addresses: Department of Computer Engineering, Ramrao Adik Institute of Technology, D.Y. Patil (Deemed to be University), Nerul, Navi Mumbai, India ' Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India

Abstract: Enterprise Resource Planning (ERP) stands out as a viable solution, recognising its potential to elevate organisational efficiency. Organisations continue to face challenges in selecting the right ERP systems and often struggle with integrating ERP systems and Artificial Intelligence (AI) technologies. This integration issue leads to inefficient decision-making due to less responsive ERP systems. Additionally, managing the collected data and transforming it into actionable insights for informed decision-making through ERP systems remains a difficult task. Thus, the study focuses on enhancing decision-making using an intelligent ERP system. The proposed method implements a dataset obtained by surveying ERP consultants across different industry verticals worldwide. This dataset is then applied to a decision tree to generate rules, and other machine learning algorithms are tested for their performance. The results show excellent performance of decision trees, while Linear SVM, Efficient Logistic Regression, Efficient Linear SVM, and SVM Kernel are compared with this performance. The deployment shows matched cases across industry verticals and geographic regions, achieving a high accuracy of 81.5%. Additionally, the Speed of Operation, Flexibility, and Cost Efficiency are significantly improved, highlighting the importance of the intelligent ERP system in enhancing organisational efficiency.

Keywords: business benefits; intelligent resources planning; decision tree; ERP selection; intelligent systems; artificial intelligence.

DOI: 10.1504/IJCAT.2026.153778

International Journal of Computer Applications in Technology, 2026 Vol.78 No.7, pp.27 - 41

Received: 25 Jun 2025
Accepted: 26 Jan 2026
Published online: 26 May 2026 *

Title: Enhancing organisational efficiency using intelligent ERP decision

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