 |
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)
|
Issue: April 2026
Volume 11 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
Article Published : 9033
Total Authors : 23952
Total Reviewer : 831
Total Countries : 162
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Advancing ERP Systems from Reporting to Predictive Decision Support in Supply Chain Planning |
| Authors Name: | Pushpanjali Chauhan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_210219
|
| Published Paper Id: | IJRTI2604057 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | https://doi.org/10.56975/ijrti.v11i4.210219 |
| Abstract: | The traditional Enterprise Resource Planning (ERP) systems have been used as back office transactional systems and reporting infrastructures to supply chain planning. Nevertheless, environmental volatility, the pressure of digital transformation, and the spread of artificial intelligence (AI) technologies have increased the pace of the move to descriptive reporting to predictive and prescriptive decision support. Present-day studies show that analytics-empowered supply chain functions provide a great contribution to responsiveness, resilience, and operational performance in case of effective information systems and data governance systems. Simultaneously, a new set of paradigms including digital twins, real-time integration of IoT, and explainable AI are redefining the architectural and managerial underpinnings of the intelligent enterprise systems. This review focuses on how ERP systems have evolved into forecasting and decision-support engines in the supply chain planning function of the ERP systems. Critical architectural enablers, governance frameworks, analytical models, and empirically obtained performance results were examined. The review found that there were still research gaps associated with integration complexity, model transparency, cross-enterprise data interoperability, and sustainability-oriented planning optimization. The future of research is focused on the autonomous planning systems, AI-human collaboration frameworks, resilience-by-design architecture, and sustainability-based ERP ecosystems. The results locate predictive ERP systems as strategic supporting platforms of intelligent, adaptive, and accountable supply chain management. |
| Keywords: | - Enterprise Resource Planning; Predictive Analytics; Supply Chain Planning; Artificial Intelligence; Digital Twin; Decision Support Systems; Industry 4.0; Resilient Supply Chains; Sustainable Operations |
| Cite Article: | "Advancing ERP Systems from Reporting to Predictive Decision Support in Supply Chain Planning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a419-a426, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604057.pdf |
| Downloads: | 000108 |
| 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: IJRTI2604057
Registration ID:210219
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i4.210219
Page No: a419-a426 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604057 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604057 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
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
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||