Design of Efficient Logistics Management System Based on Cloud Database

Lin Chen, Ruolin Song

2025

Abstract

This paper studies a logistics management system based on cloud database, which aims to solve the problems of inventory forecasting and low transportation efficiency in logistics management of manufacturing enterprises. In the research process, based on the design of data collection, storage, analysis and decision support subsystem, a variety of machine learning algorithms are integrated and applied in practical scenarios. After the implementation of the system, the experimental data showed that the inventory turnover rate of the study subjects increased by 83.3%, the transportation cost decreased by 26.9%, and the order delay rate decreased by 60%. The results show that the system significantly improves the logistics management efficiency of the enterprise, reduces the operating cost, and the application effect is very significant. It can be seen that the design is very successful and effective, and can be invested in practical applications to better demonstrate the application effect of cloud database-related technologies in it.

Paper Citation

in Harvard Style

Chen L. and Song R. (2025). Design of Efficient Logistics Management System Based on Cloud Database. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 269-276. DOI: 10.5220/0013539800004664

in Bibtex Style

@conference{incoft25,
author={Lin Chen and Ruolin Song},
title={Design of Efficient Logistics Management System Based on Cloud Database},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013539800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Design of Efficient Logistics Management System Based on Cloud Database
SN - 978-989-758-763-4
AU - Chen L.
AU - Song R.
PY - 2025
SP - 269
EP - 276
DO - 10.5220/0013539800004664
PB - SciTePress