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
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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