SciTransfer
TRACE · Project

AI and Blockchain Platform for Shared Green Logistics and Automated Last-Mile Delivery

transportTestedTRL 5

Imagine a giant group chat for delivery companies where they share trucks and warehouses instead of competing for every single trip. It uses a digital brain to pick the fastest, cleanest route and a secure digital ledger to handle payments instantly. It even includes robot vehicles to handle the final stretch of the delivery to the customer.

By the numbers
50%
IMO emission reduction target by 2050 compared to 2008
The business problem

What needed solving

Logistics companies struggle with high fuel costs, overburdened roads, and a lack of trust when sharing resources with competitors. This leads to inefficient, high-emission transport chains that are vulnerable to disruptions.

The solution

What was built

A universal platform for logistics planning and scheduling, integrated with blockchain for smart contracts and a system for managing unmanned last-mile delivery vehicles.

Audience

Who needs this

Port terminal operatorsFreight forwarding companiesUrban courier servicesIntermodal transport operators
Business applications

Who can put this to work

Maritime Logistics
enterprise
Target: Port Authority or Terminal Operator

If you are a port operator dealing with congested hinterland connections — this project developed a universal platform that optimizes shared resources to reduce carbon footprints and ensure deliveries keep moving during disruptions.

Last-Mile Delivery
SME
Target: Courier Service Provider

If you are a courier dealing with high urban traffic and fuel costs — this project developed unmanned vehicle integration and virtual hubs that automate the final delivery stage to lower operational costs.

Freight Forwarding
mid-size
Target: 3PL Logistics Provider

If you are a logistics provider dealing with complex global supply chains and trust issues with partners — this project developed a blockchain-based system for real-time smart contracts and financial operations.

Frequently asked

Quick answers

How does this affect operational costs and fuel prices?

The system targets cost-saving transport solutions to counter high and unstable fuel prices by optimizing the use of shared resources. Based on available project data, it aims to limit operational costs for all logistics participants.

Is this ready for industrial scale?

The project envisions real demonstrators across different European countries to test shared resources and unmanned vehicles. Based on available project data, it is moving from planning to real-world demonstration.

What is the IP or licensing model for the platform?

Based on available project data, specific licensing terms are not mentioned, but the project focuses on creating a universal platform for planning, scheduling, and event management.

How does it handle environmental regulations?

It is designed to help companies meet strict rules like the Paris Agreement and the IMO goal to reduce emissions by at least 50% by 2050 compared to 2008.

How is the technology integrated with existing systems?

The project addresses the lack of connectivity between different ICT systems by providing an 'intelligent cover' that allows data exchange and shared resource optimization.

Consortium

Who built it

The project has a strong commercial orientation with 30 partners, where 18 are from industry (60% ratio). The presence of 11 SMEs across 11 countries suggests a high capacity for diversifying the technology across different European markets and logistics environments.

How to reach the team

Contact the National and Kapodistrian University of Athens

Next steps

Talk to the team behind this work.

Contact us to connect with the TRACE consortium for pilot opportunities.

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