 |
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: | AI-Driven Geo-Political and ESG-Aware Supply Chain Platform with Demand Forecasting |
| Authors Name: | K. Anitha , B.Lokeshwaran , R.Vijay , S.Lokesh , R.Muralidharan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_211018
|
| Published Paper Id: | IJRTI2604200 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | This work examines the increasing challenges in global supply chains caused by geopolitical uncertainty and sustainability demands, and proposes an intelligent decision-support framework to address them. Traditional procurement approaches mainly focus on cost and efficiency, often overlooking external risks and ESG (Environmental, Social, and Governance) factors. To address these limitations, this study proposes a data-driven decision support system that integrates demand forecasting, geopolitical risk assessment, and ESG-based supplier evaluation into a unified framework. Machine learning techniques are used to predict demand, while a structured risk index quantifies geopolitical uncertainty. ESG indicators are incorporated to ensure responsible sourcing. The model formulates procurement as a multi-objective optimization problem that balances cost, risk, and sustainability. Experimental results show improved supply chain stability, enhanced ESG compliance, and maintained cost effectiveness. |
| Keywords: | Supply Chain Intelligence; Demand Forecasting; ESG Analytics; Geopolitical Risk Modeling; Multi-Objective Optimization; Sustainable Procurement; Machine Learning. |
| Cite Article: | "AI-Driven Geo-Political and ESG-Aware Supply Chain Platform with Demand Forecasting", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b472-b476, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604200.pdf |
| Downloads: | 00058 |
| 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: IJRTI2604200
Registration ID:211018
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b472-b476 Country: Tiruvannamalai, Tamil Nadu, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604200 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604200 |
| 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 | |||