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Analysis of Ai Effectiveness in Reducing Human Errors in Processing Transportation Requests

Year: 2024

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.5281/zenodo.13786096

Author: Korostin, Oleksandr

Institution: Classic Private University

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6968025255

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