Research on the Application of Artificial Intelligence Technology in Intelligent Logistics Scheduling

Lidan Shao; Yongping Liu; Jianxin Shao

doi:10.54097/rkmksg13

Authors

Lidan Shao
Yongping Liu
Jianxin Shao

DOI:

https://doi.org/10.54097/rkmksg13

Keywords:

Path Optimization, Smart Logistics, AI, Big Data, Machine Vision

Abstract

Smart logistics refers to the use of advanced information technology and logistics management methods to optimize and improve the efficiency and service quality of logistics transportation, warehousing, distribution and other links through intelligent and networked means. Artificial intelligence plays an important role in smart logistics. This article deeply explores the key applications of artificial intelligence technology in smart logistics scheduling, including path planning optimization, intelligent warehousing sorting, and real-time monitoring and early warning. These technologies not only highlight their in order to improve transportation. The practical application of efficiency and cost reduction also highlights the great potential of artificial intelligence in the field of smart logistics. Through these studies, this article deeply explores key issues in the fields of digital logistics and smart logistics scheduling, providing important theoretical foundation and practical guidance for further research and practice in the future.

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