Architecture Design of a Smart Logistics Warehouse Management System based on Multi-modal AI

Can Liang; Liangxu Sun; Shuaiye Luo; Xingnuo Liu; Ruihao Wu

doi:10.6919/ICJE.202505_11(5).0039

Architecture Design of a Smart Logistics Warehouse Management System based on Multi-modal AI

Can Liang, Liangxu Sun, Shuaiye Luo, Xingnuo Liu, Ruihao Wu

International Core Journal of Engineering, (2025), Vol.11, No.5, pp.326-331

Published: April 22, 2025

DOI: 10.6919/ICJE.202505_11(5).0039

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Abstract

Addressing the inefficiency and poor real-time performance of traditional warehouse management systems, this paper proposes a design scheme for a smart warehouse management system based on multi-modal AI. The system achieves intelligent management of the entire logistics process through the collaborative decision-making of multi-modal AI (DeepSeek-R1 language model and GLM-4V visual model). Combining a modular micro-services architecture (SpringCloud) and distributed technology, it constructs a closed-loop system of "perception-decision-monitoring." The design integrates two-factor authentication and edge-cloud collaborative computing, supporting dynamic inventory optimization and real-time data analysis, providing a lightweight and scalable solution for the intelligent upgrade of logistics warehousing. Future work will further explore the deep integration application of digital twin technology.

Keywords: Smart Warehouse; Multi-modal AI; Micro-services; Internet of Things.

APA Citation: Can Liang, Liangxu Sun, Shuaiye Luo, Xingnuo Liu, Ruihao Wu (2025). Architecture Design of a Smart Logistics Warehouse Management System based on Multi-modal AI. International Core Journal of Engineering, 11(5), 326-331. https://doi.org/10.6919/ICJE.202505_11(5).0039

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