ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
The Role of AI in Automating Spend Classification for Enterprise Resource Planning
Authors
Praveen Kumar Ilamurugan
Keywords
AI in ERP, spend classification, machine learning, procurement automation
Abstract
The integration of Artificial Intelligence (AI) with Enterprise Resource Planning (ERP) systems has
fundamentally changed how businesses automate processes, increasingly in the area of spend classification. Where spend
classification has traditionally relied on manual or rule-based systems for classification, leading to inefficiencies, errors,
and scalability challenges, AI technologies, including machine learning, natural language processing, and deep learning,
provide organizations with the opportunity to automate tasks, and enable deep insights and real-time capabilities on
classification tasks. This review paper highlights the strategic and technology aspects of AI-facilitated spend classification
in ERP systems. We begin by discussing the architecture of ERP platforms with AI capabilities, then various algorithmic
approaches to achieve automated spend classification, potential implementation issues using AI and where we see
operational and financial value by automating processes. We examine a variety of classification methods and highlight the
role of AI in improving visibility, compliance and decision-making practices. We also highlight broad trends and strategic
issues related to future integration of AI in ERP systems, and delineate how automated spend classification is the critical
foundation for digital transformation.
Full Paper, Downloads & Preview
How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"The Role of AI in Automating Spend Classification for Enterprise Resource Planning", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.b298-b304, August-2025, Available :https://ijrti.org/papers/IJRTI2508140.pdf
APA — 7th edition
Ilamurugan, P. K. (2025). The Role of AI in Automating Spend Classification for Enterprise Resource Planning. International Journal for Research Trends and Innovation, 10(8), b298-b304. https://doi.org/10.56975/ijrti.v10i8.205913
MLA — 9th edition
Ilamurugan, Praveen Kumar. "The Role of AI in Automating Spend Classification for Enterprise Resource Planning." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. b298-b304, https://doi.org/10.56975/ijrti.v10i8.205913.
Chicago — 17th, bibliography
Ilamurugan, Praveen Kumar. "The Role of AI in Automating Spend Classification for Enterprise Resource Planning." International Journal for Research Trends and Innovation 10, no. 8 (2025): b298-b304. https://doi.org/10.56975/ijrti.v10i8.205913.
Harvard — author–date
Ilamurugan, P.K. (2025) 'The Role of AI in Automating Spend Classification for Enterprise Resource Planning', International Journal for Research Trends and Innovation, 10(8), pp. b298-b304. Available at: https://doi.org/10.56975/ijrti.v10i8.205913
IEEE — numbered reference
P. K. Ilamurugan, "The Role of AI in Automating Spend Classification for Enterprise Resource Planning," IJRTI, vol. 10, no. 8, pp. b298-b304, Aug. 2025, doi: 10.56975/ijrti.v10i8.205913.
Vancouver — biomedical
Ilamurugan PK. The Role of AI in Automating Spend Classification for Enterprise Resource Planning. IJRTI. 2025 Aug;10(8):b298-b304. doi: 10.56975/ijrti.v10i8.205913
AMA — 11th edition
Ilamurugan PK. The Role of AI in Automating Spend Classification for Enterprise Resource Planning. IJRTI. 2025;10(8):b298-b304. doi:10.56975/ijrti.v10i8.205913
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508140,
author = {Praveen Kumar Ilamurugan},
title = {The Role of AI in Automating Spend Classification for Enterprise Resource Planning},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {8},
pages = {b298-b304},
year = {2025},
month = {August},
issn = {2456-3315},
doi = {10.56975/ijrti.v10i8.205913},
url = {https://doi.org/10.56975/ijrti.v10i8.205913}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Ilamurugan, Praveen Kumar
TI - The Role of AI in Automating Spend Classification for Enterprise Resource Planning
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 8
PY - 2025
SN - 2456-3315
DO - 10.56975/ijrti.v10i8.205913
UR - https://doi.org/10.56975/ijrti.v10i8.205913
SP - b298-b304
ER -
Issue
Volume 10 Issue 8,
August-2025
Pages : b298-b304
Other Publication Details
Paper Reg. ID
IJRTI_205913
Published Paper ID
IJRTI2508140
Downloads
205,651
Research Area
Engineering
Country
Chennai, Tamil Nadu, India
Published
August 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2508140.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2508140
CrossRef DOI
https://doi.org/10.56975/ijrti.v10i8.205913
Check for updates. Crossmark shows whether this article has been corrected, updated or retracted since publication, and links to the current version of record.
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved Journal — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters, with CrossRef DOI registration and Scopus Standard metadata on every published paper.
Licence
© 2025 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
