Use of artificial intelligence in last mile delivery
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...
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2021-01-01
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Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2021/03/shsconf_glob20_04011.pdf |
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doaj-f040d7f83b4646b99df98d0d25870d962021-01-15T10:21:16ZengEDP SciencesSHS Web of Conferences2261-24242021-01-01920401110.1051/shsconf/20219204011shsconf_glob20_04011Use of artificial intelligence in last mile deliveryJucha Peter0University of Zilina, Faculty of Operation and Economics of Transport and Communications, Department of CommunicationsResearch 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.https://www.shs-conferences.org/articles/shsconf/pdf/2021/03/shsconf_glob20_04011.pdfartificial intelligencelast mile deliverylogistics |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jucha Peter |
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Jucha Peter Use of artificial intelligence in last mile delivery SHS Web of Conferences artificial intelligence last mile delivery logistics |
author_facet |
Jucha Peter |
author_sort |
Jucha Peter |
title |
Use of artificial intelligence in last mile delivery |
title_short |
Use of artificial intelligence in last mile delivery |
title_full |
Use of artificial intelligence in last mile delivery |
title_fullStr |
Use of artificial intelligence in last mile delivery |
title_full_unstemmed |
Use of artificial intelligence in last mile delivery |
title_sort |
use of artificial intelligence in last mile delivery |
publisher |
EDP Sciences |
series |
SHS Web of Conferences |
issn |
2261-2424 |
publishDate |
2021-01-01 |
description |
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. |
topic |
artificial intelligence last mile delivery logistics |
url |
https://www.shs-conferences.org/articles/shsconf/pdf/2021/03/shsconf_glob20_04011.pdf |
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AT juchapeter useofartificialintelligenceinlastmiledelivery |
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