Easybring currently provides an online service where users can post package transport assignments and where other individuals, carriers, can offer to transport the packages for a fee. Easybring accumulates data about users, carriers, and assignments ove r time. This results in a dynamically growing collection of complex data. The innovation idea is to apply machine learning and statistical methods to analyse and make predictions from the accumulated data to improve the Easybring service. With an intellig ent brokering mechanism, the Easybring service will be made more efficient and the service quality will be improved. Thus, the service will attract more users and open new market segments. The main innovation is in the form of a new service for predicti ng the properties of future delivery assignments. This service will be integrated into Easybring's existing service. Improved quality of service will yield higher customer satisfaction and attract new users. This will directly increase the Easybring use r base and the number of transported packages. The Norwegian Computing Center (Norsk Regnesentral, NR) is the research partner and will carry out the scientific research in the project. Easybring will be the main partner for development, and together Ea sybring and NR will realize the new service innovation.
Project leader: Bjarte Mayanja Østvold