IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19444

Article Published : 8041

Total Authors : 21252

Total Reviewer : 769

Total Countries : 144

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: The Role of AI in Automating Spend Classification for Enterprise Resource Planning
Authors Name: Praveen Kumar Ilamurugan
Download E-Certificate: Download
Author Reg. ID:
IJRTI_205913
Published Paper Id: IJRTI2508140
Published In: Volume 10 Issue 8, August-2025
DOI: https://doi.org/10.56975/ijrti.v10i8.205913
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.
Keywords: AI in ERP, spend classification, machine learning, procurement automation
Cite Article: "The Role of AI in Automating Spend Classification for Enterprise Resource Planning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b298-b304, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508140.pdf
Downloads: 000460
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2508140
Registration ID:205913
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i8.205913
Page No: b298-b304
Country: Chennai, Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508140
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508140
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner