Scientific & Practical Journal
Editorial News
Dear readers! We present you a new issue of the magazine dedicated to current logistics issues.
Dear readers! We present you the third issue of the journal dedicated to current issues in the logistics industry.
Dear readers! We present to you a fresh issue of the magazine dedicated to current issues in the logistics industry.
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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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