Last mile delivery is one of the most complex processes in the whole logistics process. This is because it involves many uncertainties, such as weather conditions, road conditions, traffic, car accidents, delivery vehicle anomalies, choice of route, avoiding parcel damage and delivery errors, and communication with the retailer or the recipient of the parcel; all this makes the successful delivery of parcels at the customers? doorstep difficult. In addition, today?s consumers have much greater expectations regarding delivery services, they demand to receive their parcels much faster or be able to choose the time and place of delivery. All this increases the cost of last mile delivery, accounting for 40% of overall supply chain costs. E-commerce giants such as Amazon can invest a large number of resources into creating optimal last mile delivery solutions, establish numerous warehouses throughout countries which enable them to store the parcels as close to the end user as possible. However, companies that do not have as many resources may find it difficult to satisfy the delivery expectations of their customers; longer and inflexible waiting times, as well as additional payment for delivery may cause companies to quickly lose competitiveness on the market. This means that companies must turn to technological solutions that are going to help them to improve their last mile delivery effectively but at a reasonably low price. Big Data are the basis of all smart solutions. This is because collecting large amounts of data makes it possible to extract information and make future predictions on the basis of past patterns.