ANALYSIS OF AI EFFECTIVENESS IN REDUCING HUMAN ERRORS IN PROCESSING TRANSPORTATION REQUESTS

This article examines the characteristics of human errors in processing transportation requests. The role of artificial intelligence (AI) in maritime transportation is explored. The main methods and technologies used for automating and optimizing the handling of transportation requests are analyzed, along with their impact on reducing the number of errors. Examples of successful AI implementation in large companies are provided, confirming the positive influence of these technologies on overall operational efficiency and customer service levels.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-18
DOI
https://doi.org/10.5281/zenodo.13786096
Primary Topic
Stonefly species taxonomy and ecology
Type
article
Field-Weighted Citation Impact
0.00
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article

ANALYSIS OF AI EFFECTIVENESS IN REDUCING HUMAN ERRORS IN PROCESSING TRANSPORTATION REQUESTS

Zenodo (CERN European Organization for Nuclear Research)
Stonefly species taxonomy and ecology
article

ANALYSIS OF AI EFFECTIVENESS IN REDUCING HUMAN ERRORS IN PROCESSING TRANSPORTATION REQUESTS

article en

Abstract

This article examines the characteristics of human errors in processing transportation requests. The role of artificial intelligence (AI) in maritime transportation is explored. The main methods and technologies used for automating and optimizing the handling of transportation requests are analyzed, along with their impact on reducing the number of errors. Examples of successful AI implementation in large companies are provided, confirming the positive influence of these technologies on overall operational efficiency and customer service levels.

Zenodo (CERN European Organization for Nuclear Research)
Classic Private University (UA)
Openalex Percentile: Top 54%
Stonefly species taxonomy and ecology
DOIOpen Access PDFOpenAlex
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ANALYSIS OF AI EFFECTIVENESS IN REDUCING HUMAN ERRORS IN PROCESSING TRANSPORTATION REQUESTS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS