TY - GEN
T1 - Artificial intelligence and logistics services
T2 - 3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
AU - Villanueva-Eslava, Alberto
AU - Riega-Viru, Yasmina
AU - Nilupu-Moreno, Kiara
AU - Salas-Riega, Juan Luis
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The objective of the study is to identify the artificial intelligence tools used and their impact on logistics services, for this a systematic review of the scientific literature was carried out. Fifteen articles were selected from the Proquest and Scopus databases using the terms: artificial intelligence AND Logistics AND contracts OR provision OR services, the use of Blockchain, IoT, smart contracts, deep learning, and computer software for logistics services was found. It is concluded that digitalization implies the incorporation of artificial intelligence in logistics services, highlighting the use of IoT. At the same time, deep learning is not as common in this context compared to other technologies. Artificial intelligence tools impact logistics services, optimizing the supply chain, helping identify products, tracking them more rigorously, and making contracting and transportation processes more effective. The AI trend in logistics services is developing in Europe, Asia, and the United States of North America, which is why it is recommended that companies providing logistics services in Latin America adopt the use of artificial intelligence tools to improve the service they provide.
AB - The objective of the study is to identify the artificial intelligence tools used and their impact on logistics services, for this a systematic review of the scientific literature was carried out. Fifteen articles were selected from the Proquest and Scopus databases using the terms: artificial intelligence AND Logistics AND contracts OR provision OR services, the use of Blockchain, IoT, smart contracts, deep learning, and computer software for logistics services was found. It is concluded that digitalization implies the incorporation of artificial intelligence in logistics services, highlighting the use of IoT. At the same time, deep learning is not as common in this context compared to other technologies. Artificial intelligence tools impact logistics services, optimizing the supply chain, helping identify products, tracking them more rigorously, and making contracting and transportation processes more effective. The AI trend in logistics services is developing in Europe, Asia, and the United States of North America, which is why it is recommended that companies providing logistics services in Latin America adopt the use of artificial intelligence tools to improve the service they provide.
KW - IoT
KW - Logistics
KW - management
KW - network technologies
KW - supply chain
UR - https://www.scopus.com/pages/publications/85183001109
U2 - 10.1109/ICALTER61411.2023.10372911
DO - 10.1109/ICALTER61411.2023.10372911
M3 - Conference contribution
AN - SCOPUS:85183001109
T3 - Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
BT - Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
Y2 - 13 December 2023 through 15 December 2023
ER -