Main Article Content

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

Keywords

Logistics Machine Algorithms development

Article Details

How to Cite
Rakhmonova Maftuna Nabijan qizi, & Saida Safibullaevna Beknazarova. (2022). Optimizing Logistics by Using Machine Learning Algorithms. Periodica Journal of Modern Philosophy, Social Sciences and Humanities, 6, 21–23. Retrieved from https://periodica.org/index.php/journal/article/view/108