The project concerns industrial research in an object that has not been scientifically developed sufficiently, the optimization of routing via neural network algorithms using the modified function (transform) method. The final result of the project will be a system capable of running machine learning applications and direct application to all logistics systems whether they relate to 3rd party logistics (3PL) or transports and deliveries. Its implementation will lead to a reduction in delivery and receipt times as well as reduced service costs and a corresponding reduction in environmental footprint. It can be applied to many businesses after customization even in urban transport, and its future uses with self-propelled vehicles and deliveries of drones are obvious.

The aim of the project is to initially research the distribution market in the urban environment and to identify the problems faced by businesses operating in the field. At the same time, research was carried out on the utilization of routing algorithms and their utilization based on the Hopfield algorithm. The aforementioned research actions leads to the development of a new dynamic algorithm that will utilize machine learning to support businesses in their daily operations. Project innovation lies in an algorithm that can be exploited in a variety of fleet applications and distribution activities, taking into account temporal, spatial, and customer, distributor or vehicle characteristics. The outcome of the project is expected to be a platform for managing orders and grouping them for distribution. The platform is based on cloud computing infrastructure and services and will be offered internationally to maximize the benefits of this project.

website: https://www.smart-delivery.gr/

Co‐financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE - INNOVATE (project code:Τ1EDK-02266)