Optimizing Logistics by Using Machine Learning Algorithms

Authors

  • Rakhmonova Maftuna Nabijan qizi (Tashkent University of Information Technology named after Muhammad al-Khwarizmi, student)
  • Saida Safibullaevna Beknazarova (Tashkent University of Information Technology named after Muhammad al-Khwarizmi, professor)

Keywords:

Logistics, Machine, Algorithms, development

Abstract

Machine learning algorithms and the models they’re based on excel at finding anomalies, patterns and predictive insights in large data sets. Many supply chain challenges are time, cost and resource constraint-based, making machine learning an ideal technology to solve them. Machine learning and AI-based techniques are the foundation of a broad spectrum of next-generation logistics and supply chain technologies now under development

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Published

2022-05-10

Issue

Section

Articles

How to Cite

Optimizing Logistics by Using Machine Learning Algorithms. (2022). Periodica Journal of Modern Philosophy, Social Sciences and Humanities, 6, 21-23. https://periodica.org/index.php/journal/article/view/108

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