Analysis of the use of artificial intelligence in the management of logistics processes: Approaches and benefits

Yuliia Rud, Nataliia Sapotnitska, Natalia Chaplynska, Mykola Palasevych and Oksana Kudriavtseva

LatIA, 2025, vol. 3, 279

Abstract: This study explores artificial intelligence (AI) applications to improve logistics within the Belt and Road Initiative’s Middle Corridor, focusing on Ukraine amid geopolitical disruptions. Its objective is to quantify AI's impact on delivery times, inventory costs, fuel consumption, and network resilience in this complex region. Employing a mixed-method approach, the research combines Social Network Analysis (SNA) to identify key nodes and bottlenecks with simulation modelling based on empirical data from 2019 to 2023, including GPS tracking and port metrics. Results show AI integration reduces delivery times by 11,7 %, cuts inventory holding costs by 16,3 %, and lowers fuel consumption by 9,2 %. SNA reveals enhanced connectivity and efficiency at critical hubs such as Kyiv and Odesa, strengthening Ukraine’s strategic logistics role. The study concludes that AI-driven optimizations significantly boost corridor efficiency, resilience, and sustainability. It recommends future work on real-time data integration and broader AI applications to support adaptive, greener supply chains across politically sensitive trade routes.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:rlatia:v:3:y:2025:i::p:279:id:1062486latia2025279

DOI: 10.62486/latia2025279

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