… Based on these premises, this study presents an overview of the most recent literature
advances in last-mile logistics optimization techniques, starting from the results of the SENATOR …

… machine learning forecasts based on real-time data, different dynamic route planning algorithms,
tracking logistics … sustainability benefits based on machine learning to predict accurate …

… Third-party logistics is now an essential component of efficient delivery systems, enabling …
able to do so based on machine learning techniques. Several numerical experiments show …

… In Section 2.1, we discuss last-mile routing optimization and … the recent but fast-expanding
research area of machine learning for … Last-mile delivery refers to the logistics of freight …

… Based on the current importance and potential of the technology, our article explores how
Artificial Intelligence (AI) and Machine Learning can be used to predict the duration of delivery …

… machine learning (ML) approach for the PLTSPHD, which minimizes the total operational
cost of the last-mile … As last-mile delivery logistics require a lot of different elements to ensure …

… literature on lastmile delivery and machine learning (ML) methods for combinatorial optimization;
in Section 3 we describe our learning … Last-mile delivery refers to the logistics of freight …

… of last-mile logistics, the main critical resource to manage is the fleet of vehicles. In the
last … Operating in these difficult conditions leads the last mile logistic operators to use thirdparty …

… We use deep reinforcement learning to handle problems where it is necessary to have … find
the shortest delivery path follows a deep reinforcement learning trained policy. This approach …

… Machine learning techniques can be of great help to improve last mile logistics efficiency. …
factors that cannot be directly controlled by the logistics operator, such as the customer’s …