OPTIMIZATION OF MARITIME FREIGHT TRANSPORTATION USING ARTIFICIAL INTELLIGENCE: ECONOMIC GROWTH PROSPECTS FOR PORT OPERATORS

Abstract This article examines the characteristics of the maritime freight transportation market and the existing challenges. It analyzes the impact of artificial intelligence (AI) on the optimization processes of maritime freight transportation. Special attention is given to real examples of successful AI implementation in maritime logistics in the United States. The prospects for economic growth for port operators are explored.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-12
DOI
https://doi.org/10.5281/zenodo.13769161
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

OPTIMIZATION OF MARITIME FREIGHT TRANSPORTATION USING ARTIFICIAL INTELLIGENCE: ECONOMIC GROWTH PROSPECTS FOR PORT OPERATORS

Zenodo (CERN European Organization for Nuclear Research)
Transport and Logistics Innovations
article

OPTIMIZATION OF MARITIME FREIGHT TRANSPORTATION USING ARTIFICIAL INTELLIGENCE: ECONOMIC GROWTH PROSPECTS FOR PORT OPERATORS

article en

Abstract

Abstract This article examines the characteristics of the maritime freight transportation market and the existing challenges. It analyzes the impact of artificial intelligence (AI) on the optimization processes of maritime freight transportation. Special attention is given to real examples of successful AI implementation in maritime logistics in the United States. The prospects for economic growth for port operators are explored.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 48%
Transport and Logistics Innovations
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OPTIMIZATION OF MARITIME FREIGHT TRANSPORTATION USING ARTIFICIAL INTELLIGENCE: ECONOMIC GROWTH PROSPECTS FOR PORT OPERATORS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS