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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
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Issue: April 2026
Volume 11 | Issue 4
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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
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| Paper Title: | AI-Based Inventory Management System for Smart Supply Chain Optimization |
| Authors Name: | P.Anandha Priyan , K.Ahamed vahith , S.Abishake , N.Narayanan , S.Ambika |
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IJRTI_211513
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| Published Paper Id: | IJRTI2604133 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Efficient inventory management is a critical challenge in modern supply chain systems due to fluctuating demand, supply uncertainties, and operational inefficiencies. Traditional inventory systems rely on static models and manual monitoring, which often lead to overstocking, stockouts, and increased operational costs. This paper presents a comprehensive AI-based inventory management system that integrates machine learning techniques for demand forecasting, stock optimization, and automated decision-making. The proposed system utilizes historical sales data, real-time inputs, and predictive analytics to generate accurate demand forecasts and dynamically adjust inventory levels. The system also includes intelligent alert mechanisms, visualization dashboards, and adaptive learning capabilities. Experimental evaluation demonstrates that the proposed system achieves forecasting accuracy of up to 90% and significantly reduces inventory costs and inefficiencies. The results highlight the effectiveness of artificial intelligence in transforming traditional inventory systems into intelligent, data-driven solutions. Index Terms— Artificial Intelligence, Inventory Management, Machine Learning, Demand Forecasting, Supply Chain Optimization, Predictive Analytics |
| Keywords: | AI-Based Inventory Management System |
| Cite Article: | "AI-Based Inventory Management System for Smart Supply Chain Optimization", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b6-b9, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604133.pdf |
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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 |
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Published Paper ID: IJRTI2604133
Registration ID:211513
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b6-b9 Country: Chidambaram, Tamil Nadu, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604133 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604133 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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