Possibilities of Machine Learning in Logistics

<p>Inrecent years, machine learning (ML) has revolutionized various industries, and logistics is no exception. The integration of AI and ML technologies has unlocked a myriad of possibilities, reshaping the way goods are transported, managed, and delivered across the globe. This post aims to explore the incredible potential and the wide-ranging applications of machine learning in logistics.</p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:630/0*gWLUjahWCffZZ0No" style="height:467px; width:700px" /></p> <p>Photo by&nbsp;<a href="https://unsplash.com/@marcinjozwiak?utm_source=medium&amp;utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Marcin Jozwiak</a>&nbsp;on&nbsp;<a href="https://unsplash.com/?utm_source=medium&amp;utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Unsplash</a></p> <p>ML logistics applications can be divided into two main categories:</p> <p><a href="https://medium.com/@rolandnagydata/possibilities-of-machine-learning-in-logistics-6225c84fef52"><strong>Click Here</strong></a></p>