Issue |
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
|
|
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Article Number | 04011 | |
Number of page(s) | 9 | |
Section | Innovation and Investment on Industry 4.0 | |
DOI | https://doi.org/10.1051/shsconf/20219204011 | |
Published online | 13 January 2021 |
Use of artificial intelligence in last mile delivery
University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of Communications, Univerzitna 1, 010 26 Zilina, Slovakia
* Corresponding author: peter.jucha@fpedas.uniza.sk
Research background: Artificial intelligence is a term that is now known to almost everyone and is among the trends and innovations of Industry 4.0 for 2020. It is a much-discussed topic in the field of technology. Artificial intelligence and machine training are the driving forces across different industries. In many cases, artificial intelligence helps people in their work and simplifies it or even completely replaces the human workforce.
Purpose of the article: The purpose of the article is to state how artificial intelligence can affect and solve existing problems in last mile delivery. For example, inefficiency is a major problem with last mile delivery because the last section of delivery usually involves a number of short-distance stops. However, a long waiting time for the customer to deliver the goods or incorrect allocation of resources and vehicles to the required areas can also be a problem. And it is artificial intelligence that should help solve such problems.
Methods: Comparison, Empirical and retrospective analysis are used within the analysis of different modes of last-mile delivery.
Findings & Value added: The research results shows the ways in which artificial intelligence can help solve problems in last mile delivery. Examples include The Vehicle Routing optimization (VRO), which aims to calculate the most optimal delivery route or artificial intelligence technology, which is used to interpret various events, manage data, and apply predictive intelligence.
Key words: Artificial intelligence / Last mile delivery / Logistics
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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