 |
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: December 2025
Volume 10 | Issue 12
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 : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | An Advanced Inventory Management System Powered by IoT and AI for Real-Time Tracking and Optimization |
| Authors Name: | GANESAN R T , DHANUSH RAJA M , JEISURYA S , KAMALA KANNAN NG , KAMALI.R |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202005
|
| Published Paper Id: | IJRTI2504022 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This project is all about creating a smart, automated technique for managing small inventories warehouses. It employs IoT sensors, RFID tags, and cloud- based software to monitor stock levels and movement in real- time. With AI algorithms for demand forecasting, sending restocking notifications, and optimizing operations, it gives accurate inventory data and seamless order fulfillment. The system has a friendly user interface that minimizes manual entry of data—less error and tons of saved time. It's affordable and can be scaled with ease, meaning small warehouses can improve efficiency, streamline orders, and maintain low operating costs. The simplicity makes inventory easier to manage and maximizes utilization of available resources. With capabilities such as real-time monitoring, predictive analysis, and automation, this solution significantly enhances warehouse management. It's a pragmatic, affordable choice for small companies that want to enhance performance and reduce manual labor. And for companies that want to transform their warehouse operations with technology such as AI and IoT, this can act as a good point of reference |
| Keywords: | Automated Stock Monitoring, Stock Inventory Management Solutions, ML |
| Cite Article: | "An Advanced Inventory Management System Powered by IoT and AI for Real-Time Tracking and Optimization", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a173-a180, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504022.pdf |
| Downloads: | 000511 |
| 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: IJRTI2504022
Registration ID:202005
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a173-a180 Country: SALEM, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504022 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504022 |
| 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 © 2025 - All Rights Reserved - IJRTI | |||