INTELLIGENCE TECHNOLOGIES IN LOGISTIC INFRASTRUCTURE MODERNISATION

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

  Olexiy Stupnitsky

  Olena Pryiatelchuk

Abstract

The purpose of the paper is to determine the impact of innovative technologies of artificial intelligence on the modernization of logistics infrastructure, the formation of new forms of logistics networks of Industry 4.0. Methodology. The survey is based on a study of the main trends in the field of logistics infrastructure development, analysis of the latest forms and methods of using artificial intelligence technologies in various fields. The study considers the forecasts of IDC “IDC Future Scape: Worldwide Digital Transformation 2021” and contains an assessment of the volume and effectiveness of investment in this area. The results of the survey showed that in addition to the radical transformation of the logistics network itself, the use of artificial intelligence technologies will lead to qualitative changes in the labor market. There is still the tendency to reduce the need for logisticians performing operational functions – automation of warehousing operations, unmanned stackers, and transporters instead of loaders and pickers will accelerate. Practical implications. The use of artificial intelligence technologies allows companies today to generate significant competitive advantages on this basis. However, soon this will not be an advantage, an indisputable condition for the company’s operation in the market of logistics services in general. Value/originality. The authors have highlighted the minimum quality and competencies required in the future, the presence of which in the company’s resource base will allow to use all the advantages of implementing innovative forms of piece intelligence - multi-competent knowledge in the areas of IT technologies, procurement and warehouse, transport, production and distribution logistics, mathematical analysis, and production management processes based on artificial intelligence.

How to Cite

Stupnitsky, O., & Pryiatelchuk, O. (2021). INTELLIGENCE TECHNOLOGIES IN LOGISTIC INFRASTRUCTURE MODERNISATION. Economics & Education, 6(1), 21-24. https://doi.org/10.30525/2500-946X/2021-1-3
Article views: 28 | PDF Downloads: 27

##plugins.themes.bootstrap3.article.details##

Keywords

Logistics, innovations, intelligence, modernization, digitalization

References

Eremina, L. V., Mamoiko, A. Yu., & Papikyan, A. S. (2019). Improving the efficiency of logistics planning through the use of artificial intelligence. Technics. Technologies. Engineering, 4 (14), 1–7. E-source: https://moluch.ru/th/8/archive/142/4404/

Iphofen, R., & Kritikos, M. (2018). Regulating artificial intelligence and robotics: ethics by design in a digital society. DOI: https://doi.org/10.1080/21582041.2018.1563803

How Analytics and AI are Changing the Future: 8 Trends for 2021. E-source: https://ai.cnews.ru/articles/2021-01-31_kak_analitika_i_iskusstvennyj_intellekt

Kotsenas, E., Balthazar, P. & others (2020) Rethinking Patient Consent in the Era of Artificial Intelligence and Big Data. DOI: https://doi.org/10.1016/j.jacr.2020.09.022

Revolutionizing: How the Cargo Industry Is Using the Internet of Things and Artificial Intelligence. E-source: http://vestnik-glonass.ru/news/tech/sovershaya-revolyutsiyu-kak-gruzovaya-otrasl-ispolzuet-internet-veshchey-i-iskusstvennyy-intellekt/

Weiyu, W., & Keng, S. (2019). Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity: A Review and Research Agenda. DOI: https://doi.org/10.4018/JDM.2019010104