Exploring Applications of Artificial Intelligence Technology in Modern Intelligent Logistics Development

With ongoing advancements in science and technology, artificial intelligence (AI) has emerged as a key driver within modern intelligent logistics. Presently, AI-enabled smart logistics facilitates automated processes alongside intelligent controls throughout various stages including procurement, storage handling transportations as well as goods distribution. Through real-time monitoring coupled with optimization via big data analytics loT integration machine learning among others AI technologies significantly enhances operational efficiency accuracy within logistical workflows. Furthermore, AI capabilities extend towards proactive prediction response mechanisms addressing potential disruptions like traffic congestions or weather variations ensuring preemptive adjustments for seamless logistical progression. This study delves into ‘Applications of Artificial Intelligence Technology within Modern Intelligent Logistics Development’ aiming to elevate China's logistical efficacy bolster enterprise core competencies while delivering superior societal services.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733205
Citations
1
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.68
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article

Exploring Applications of Artificial Intelligence Technology in Modern Intelligent Logistics Development

Ding Bin, Wei Jia
1 citations
E-commerce and Technology Innovations
0.68
article

Exploring Applications of Artificial Intelligence Technology in Modern Intelligent Logistics Development

Ding Bin, Wei Jia
article en
1 citations

Abstract

With ongoing advancements in science and technology, artificial intelligence (AI) has emerged as a key driver within modern intelligent logistics. Presently, AI-enabled smart logistics facilitates automated processes alongside intelligent controls throughout various stages including procurement, storage handling transportations as well as goods distribution. Through real-time monitoring coupled with optimization via big data analytics loT integration machine learning among others AI technologies significantly enhances operational efficiency accuracy within logistical workflows. Furthermore, AI capabilities extend towards proactive prediction response mechanisms addressing potential disruptions like traffic congestions or weather variations ensuring preemptive adjustments for seamless logistical progression. This study delves into ‘Applications of Artificial Intelligence Technology within Modern Intelligent Logistics Development’ aiming to elevate China's logistical efficacy bolster enterprise core competencies while delivering superior societal services.

Hohai University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
E-commerce and Technology Innovations
0.68
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Exploring Applications of Artificial Intelligence Technology in Modern Intelligent Logistics Development — Ding Bin, Wei Jia · (2024) | TGRS Research Map | TGRS