THE IMPACT OF ARTIFICIAL INTELLIGENCE APPLICATION ON THE OPTIMIZATION OF LOGISTICS AND WAREHOUSE MANAGEMENT

The article explores the role of artificial intelligence (AI) in logistics, focusing on its transformative impact on warehouse optimization, supply chain management, and strategic decision-making. AI technologies are shown to automate routine processes, forecast demand, optimize transport routes, and implement dynamic pricing, which collectively improve efficiency, reduce costs, and enhance competitiveness. The study highlights that AI enables better demand forecasting by processing large datasets, analyzing seasonal fluctuations, and predicting consumer behavior, thereby reducing risks of shortages or overstocking. Machine learning algorithms and predictive analytics enhance inventory control, while computer vision improves warehouse automation by identifying damaged products and ensuring quality control. Furthermore, AI applications in transport management, including autonomous vehicles and GPS-based routing, contribute to reducing delivery times and fuel consumption, thus improving customer satisfaction. Dynamic pricing supported by real-time analytics increases adaptability to market conditions. The paper also addresses key challenges in AI adoption, such as high implementation costs, the need for skilled personnel, cybersecurity, and data privacy concerns. Integration of AI into supply chain networks requires both internal optimization and external partnerships, ensuring resilience in volatile markets. The practical significance of this research lies in providing companies with tools to develop AI-driven strategies for logistics transformation, enabling flexible resource management, omnichannel procurement, and effective risk mitigation. Forecasts indicate significant growth in AI applications across logistics and marketing, with the global AI in logistics market expected to reach 36 billion USD by 2030. The findings underline AI’s innovative potential in achieving sustainable development, improving customer service, and reinforcing competitive positions in a globalized economy.

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Publication Details

Journal
Journal of Strategic Economic Research
Published
2025-10-15
DOI
https://doi.org/10.30857/2786-5398.2025.3.8
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
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article

THE IMPACT OF ARTIFICIAL INTELLIGENCE APPLICATION ON THE OPTIMIZATION OF LOGISTICS AND WAREHOUSE MANAGEMENT

Maryna Khmara
Journal of Strategic Economic Research
Transport and Logistics Innovations
article

THE IMPACT OF ARTIFICIAL INTELLIGENCE APPLICATION ON THE OPTIMIZATION OF LOGISTICS AND WAREHOUSE MANAGEMENT

Maryna Khmara
article en

Abstract

The article explores the role of artificial intelligence (AI) in logistics, focusing on its transformative impact on warehouse optimization, supply chain management, and strategic decision-making. AI technologies are shown to automate routine processes, forecast demand, optimize transport routes, and implement dynamic pricing, which collectively improve efficiency, reduce costs, and enhance competitiveness. The study highlights that AI enables better demand forecasting by processing large datasets, analyzing seasonal fluctuations, and predicting consumer behavior, thereby reducing risks of shortages or overstocking. Machine learning algorithms and predictive analytics enhance inventory control, while computer vision improves warehouse automation by identifying damaged products and ensuring quality control. Furthermore, AI applications in transport management, including autonomous vehicles and GPS-based routing, contribute to reducing delivery times and fuel consumption, thus improving customer satisfaction. Dynamic pricing supported by real-time analytics increases adaptability to market conditions. The paper also addresses key challenges in AI adoption, such as high implementation costs, the need for skilled personnel, cybersecurity, and data privacy concerns. Integration of AI into supply chain networks requires both internal optimization and external partnerships, ensuring resilience in volatile markets. The practical significance of this research lies in providing companies with tools to develop AI-driven strategies for logistics transformation, enabling flexible resource management, omnichannel procurement, and effective risk mitigation. Forecasts indicate significant growth in AI applications across logistics and marketing, with the global AI in logistics market expected to reach 36 billion USD by 2030. The findings underline AI’s innovative potential in achieving sustainable development, improving customer service, and reinforcing competitive positions in a globalized economy.

Journal of Strategic Economic Research(3)
Taras Shevchenko National University of Kyiv (UA)
Openalex Percentile: Top 58%
Transport and Logistics Innovations
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THE IMPACT OF ARTIFICIAL INTELLIGENCE APPLICATION ON THE OPTIMIZATION OF LOGISTICS AND WAREHOUSE MANAGEMENT — Maryna Khmara · Journal of Strategic Economic Research (2025) | TGRS Research Map | TGRS