Approach
For transportation service providers keeping pace with the demands of the marketplace has become increasingly complex. Handling orders, collecting and delivering goods is a challenge for many companies. As the competitive race increases, many companies are looking for new solutions, develop new internal processes and evaluate new revenue and profit generating models.
We want to develop an innovative AI solution for SMB and SME companies that rely on several software solution suppliers for improving their logistic operational flows. iRoute is about planning and optimizing resources such as vehicles, drivers and specialists for handling end-customer orders.
The project will follow a Spiral Model of Software Development, aimed at mitigating the risks which occur in a research project. The system will have a distributed, loosely coupled architecture, composed of the following main components: Core application, external input data, integration with Customer systems, end-user applications, web and mobile, Business Inteligence for dynamic reports and Artificial Intelligence algorithms with Machine Learning capabilites for detecting hidden patterns in existing data that can influence route executions.
The action plan is divided into work packages, whose structures reflect both the complementary expertise of the Consortium partners and the subsequent steps along the development path