Construction of a Smart Logistics Management Service System Under Big Data Technology

DOI

10.2991/978-94-6463-304-7_67How to use a DOI?

Keywords

smart logistics management service system; big data analysis; machine learning

Abstract

This paper proposes a smart logistics management system using big data analysis. The system adopts a modular, service-oriented architecture for intelligent processing of massive logistics data. Machine learning algorithms enable intelligent forecasting of logistics demand. Testing shows the system achieves refined monitoring and management compared to traditional systems. It effectively reduces logistics costs and improves warehouse efficiency. The research demonstrates the value of big data technology in realizing smart logistics management and provides a reference solution for intelligent logistics systems.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaojian Xia
AU  - Shuang Ma
PY  - 2023
DA  - 2023/12/04
TI  - Construction of a Smart Logistics Management Service System Under Big Data Technology
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 638
EP  - 643
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_67
DO  - 10.2991/978-94-6463-304-7_67
ID  - Xia2023
ER  -