COG-LO · COGnitive Logistics Operations through secure, dynamic and ad-hoc collaborative networks

The main goal of COG-LO is to create the framework and tools that will add cognition and collaboration features to future logistics processes by: 1) Introducing the Cognitive Logistics Object (CLO) by adding cognitive behavior to all involved Logistics actors and processes; 2) Developing the environment that will allow CLOs to exchange information through ad-hoc social secure networks. The main objectives of COG-LO are: (a) Definition of a Future Cognitive Logistics Objects reference implementation model that supports cognitive logistics behaviour; (b) Design and develop the necessary analytics and cognitive tools that enable complex event detection, context awareness and multi-criteria decision support. (c) To design and develop the collaboration platform based on hybrid ad-hoc social networks of CLOs. (d) To design and develop the COG-LO tools (Cognitive Advisor, which realizes the cognitive behavior of CLO based on the reference implementation model, and Tweeting CLOs, allowing CLOs to exchange information in ad-hoc Social IoT networks); (e) To evaluate the COG-LO results via intermodal, cross-country and urban logistics pilot operations. (f) To introduce new business models for ad-hoc collaborations affecting all logistics stakeholders and create a community of Logistics, ICT and urban environment stakeholders.The consortium is led by CNIT and consists of 14 partners from 8 countries.