Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{177492,
author = {Veeragowriprasath S and Ms S Priyadharishini and Dr P Sumathi and Saran S and Saranya S and Subhiksha S},
title = {Logistics Warehouse Management System},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {2322-2326},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=177492},
abstract = {The Logistics Warehouse Management System (LWMS) is an advanced platform designed to transform warehouse operations and logistics management. It tackles issues like resource misallocation, data errors, and downtime through real-time inventory tracking, shipment monitoring, and predictive maintenance. LWMS ensures stock accuracy, alerts for low inventory or expired items, and provides live shipment updates to optimize delivery timelines. The system automates maintenance scheduling using data-driven insights, reducing equipment failures. The best warehouse design to optimize storage efficiency are suggested by space consumption insights. Role-based access control safeguards sensitive data by restricting operations to authorized users.},
keywords = {AI-driven automation, IoT connectivity, Predictive analytics, Warehouse optimization.},
month = {May},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry