The Power of Artificial Intelligence in Modeling Logistics Flows

Authors

  • Viktor Petrovich Medvedev Russian Foreign Trade Academy
  • Andrey Nikolaevich Vornovsky Russian Foreign Trade Academy; AVTOTOR Holding LLC
  • Ekaterina Olegovna Shulgina Russian Foreign Trade Academy
  • Evgenija Vadimovna Taranovskaja Russian Foreign Trade Academy

DOI:

https://doi.org/10.24412/2072-8042-2024-4-104-117

Keywords:

artificial intelligence, logistics flows, automation, informatization, digitalization, digital transformation

Abstract

Significant changes are taking place in Russian logistics. Given the political situation in the modern world, transport flows have been reoriented from the west to the south and east. Besides, within the framework of parallel imports through the countries of Southeast and Central Asia the execution of the main supply chains is facilitated. In this regard, there is a growing need to develop and expand the capacity of logistics infrastructure, change the inner workings of transport hubs, new digital and personnel solutions using artificial intelligence.

Author Biographies

Viktor Petrovich Medvedev, Russian Foreign Trade Academy

Doctor of Sciences in Military, Professor,

Department of Management and Marketing, Professor

Andrey Nikolaevich Vornovsky, Russian Foreign Trade Academy; AVTOTOR Holding LLC

Department of Management and Marketing – Postgraduate student;
Director of Organizational Development

Ekaterina Olegovna Shulgina, Russian Foreign Trade Academy

Department of Management and Marketing – Master’s Degree student

Evgenija Vadimovna Taranovskaja, Russian Foreign Trade Academy

Candidate of Technical Sciences, Associate Professor,

Department of finance and monetary relations - Professor

Published

2024-05-07 — Updated on 2026-03-31

Versions

How to Cite

Medvedev, V. P., Vornovsky, A. N., Shulgina, E. O., & Taranovskaja, E. V. (2026). The Power of Artificial Intelligence in Modeling Logistics Flows. Russian Foreign Economic Journal, (4), 104–117. https://doi.org/10.24412/2072-8042-2024-4-104-117 (Original work published May 7, 2024)

Issue

Section

Foreign trade activity

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