Analysis of AI Effectiveness in Reducing Human Errors in Processing Transportation Requests
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909544933752832 |
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| author | Korostin, Oleksandr |
| author_facet | Korostin, Oleksandr |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_15517 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Analysis of AI Effectiveness in Reducing Human Errors in Processing Transportation Requests Korostin, Oleksandr Human-Computer Interaction Artificial Intelligence I.2.0 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. |
| title | Analysis of AI Effectiveness in Reducing Human Errors in Processing Transportation Requests |
| topic | Human-Computer Interaction Artificial Intelligence I.2.0 |
| url | https://arxiv.org/abs/2503.15517 |