Inlecom participated at 8th online International Physical Internet Conference (IPIC) between 15th-16th of June 2021, and successfully led a dedicated session on the EU Funded project PLANET (Grant Agreement No 860274). Inlecom, as PLANET’s Project Coordinator and Innovation Manager, presented the project’s ambition to investigate the impact of disruptive technologies, such as Blockchain, IoT and AI, to emerging global trade corridors on the Trans-European Transport Network (TEN-T). Such technologies are expected to optimize operations and facilitate more efficient coordination among Transport and Logistic (T&L) actors. During this session, the project’s three Living Labs were also presented: (a) the 1st Living Lab will evaluate how those technologies and the Physical Internet concept can improve processes, operations and efficiencies along the door-to-door transport chains, linking the Maritime Silk Road with EU internal corridors, (b) the 2nd Living Lab, will focus on dynamic and Synchromodal management of TEN-T & intercontinental flows promoting rail transport and utilising the Port of Rotterdam as the principal smart EGTN Node that coordinates rail focused transport chains linking China through Rotterdam to/from USA, and Rhine-Alpine Corridor destinations, and (c) the 3rd Living Lab  will look into streamlining logistic processes in flows from China to Europe along the Silk Road by implementing IoT technologies and GS1 standards that facilitate transmission of data between the partners involved in the e-commerce operations.

In addition, the presentation from the Centre for Research and Technology Hellas (CERTH) consolidated the outcome of PLANET’s Position Papers addressing the impact of new emerging trade routes on the TEN-T, while taking into consideration the geoeconomics context of these routes. Finally, the Institute of Logistics and Warehousing (ILIM) described how logistic processes in flows from China to Europe along the Silk Road will be streamlined under their Living Lab, by implementing IoT technologies utilizing the EPCIS platform and GS1 standards.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No 860274.