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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Main Author: Jucha Peter
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:SHS Web of Conferences
Subjects:
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2021/03/shsconf_glob20_04011.pdf
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spelling 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
collection DOAJ
language English
format Article
sources DOAJ
author Jucha Peter
spellingShingle 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
work_keys_str_mv AT juchapeter useofartificialintelligenceinlastmiledelivery
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