Innovation in Smart Logistics Decision - Making Driven by Multimodal Data Fusion

DOI

10.2991/978-94-6463-845-5_12How to use a DOI?

Keywords

Multimodal Data Fusion; Smart Logistics Decision – Making; Logistics Efficiency Improvement

Abstract

In the wave of digitalization, the logistics industry faces the dual challenges of business growth and cost control. This article focuses on the application of multimodal data fusion in smart logistics decision-making, analyzes the principles of how it optimizes decision-making, plans logistics routes, and improves resource utilization efficiency. Through case studies of enterprises such as JD.com, it demonstrates the achievements and confirms that multimodal data fusion can enhance efficiency, reduce costs, and increase competitiveness. At the end of the article, it looks ahead to future trends such as technological innovation and scenario expansion, providing impetus for the development of smart logistics.

Copyright

© 2025 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  - Yishu Wang
AU  - Minghai Lv
PY  - 2025
DA  - 2025/09/16
TI  - Innovation in Smart Logistics Decision - Making Driven by Multimodal Data Fusion
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 105
EP  - 111
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_12
DO  - 10.2991/978-94-6463-845-5_12
ID  - Wang2025
ER  -