Scientific & Practical Journal
Editorial News
Dear readers! We are pleased to present you with the sixth issue of the journal for 2026, in which the theory and practice of logistics are explored in a variety of relevant areas. This issue is truly multifaceted, combining reflections on the essence of logistics processes with applied calculations and industry-specific cases.
Dear readers! This is the fifth issue of the LOGISTICS journal, dedicated to the current challenges of modern logistics.
Dear readers! We present you a new issue of the magazine dedicated to current logistics issues.
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About the application of machine learning methods in supply chain management under uncertainty
S.A. Khmelnitskaya, I.I. Milchenko2 / 2026 | INFORMATION TECHNOLOGIES
Annotation. The article systematizes scientific approaches to the concept of «market uncertainty», presents the principles of functioning and limitations of traditional forecasting methods. The article defines the tasks and classifies machine learning methods, discusses the stages of integrating ML solutions into logistics systems, and substantiates the importance of predictive analytics using artificial intelligence.
Key words. Market uncertainty, supply chain uncertainty factors, traditional forecasting methods, demand forecasting accuracy, machine learning, and artificial intelligence.
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