To meet these demands, supply chain companies must be able to adapt their operations and optimize their routes in real time. This is partly due to the increasing number ofĮCommerce orders being placed, as well as the growing trend of same-day and next-day delivery. In addition to being costly, the need for last-mile delivery is constantly growing and becoming more complex. The last mile of parcel delivery is the most expensive and time-consuming part of the process, accounting for up to 28% of total shipping costs. In this article, we will discuss how machine learning can be used to optimize parcel delivery and reduce costs for businesses of all sizes. But now, with the help of custom deep learning solutions that optimize processes in real-time, it is possible to cut shipping costs and speed up delivery times.

Until recently, there was no better way to optimize last-mile deliveries than simple route optimization. The last mile of the delivery process is often the most expensive and time-consuming due to traffic congestion and the need to navigate complex urban landscapes. How do you optimize parcel delivery? It’s a question that logistics professionals have asked for years.

Delivery optimization