Analysis of Opportunities of Software for Optimization of Transport Routes

Logistic processes supported by intelligent transport systems enable real-time monitoring and optimization of the transport process in the phase of delivery of shipments to users. Monitoring of all operations of the carrier's fleet is necessary due to the insight into the performed operations, where precise data enables and facilitates the adoption of correct business decisions by all actors of the transport chain. This paper analyzes software for optimizing delivery routes, which is reflected in the possibility of reducing the number of kilometers traveled, the possibility of saving fuel consumption and optimizing the working time of drivers and logistics operators. The intelligent system is based on machine learning methods, but in this paper we deal with the advantages and disadvantages of the system solution. The paper also contains suggestions that would improve system solutions by applying machine learning.