The TricyLift is an electric cargo bike designed for easy handling and containerised logistics. It can lift and carry up to 250 kg using an integrated patented lifting system. The large range of modules enable the transport of pallets, parcels, fresh goods, etc. The innovation lies in its compact, modular design that brings efficient and eco-friendly delivery to urban areas. 

LinkedIn Page

 FLEX’s PALTAINER micro-containers simplify freight handling by protecting pallets and parcels, including temperature-sensitive goods. They come in removable or rigid designs and facilitate the use of cycle logistics in combination with other vehicles. Combined with a mobile hub, micro-containers allow a high flexibility of urbain logistics. Their innovation is in modular, adaptable solutions that make last-mile logistics more secure and flexible.

LinkedIn Page

INT’s smart parcel lockers provide unmanned, secure access for deliveries with 9 or 12 compartments of varying sizes. Made from steel and aluminium, they follow digital and postal standards, and operate on standard electricity. The innovative aspect is the combination of secure, accessible, and connected locker technology that allows flexible, contactless parcel collection. Micro hub can be attached to a secure bike park and they provide logistics and commercial benefits to the city. Integration with zero-emission urban mobility makes it convenient to urban areas.

The modular micro hubs are equipped with solar-powered units, charging stations for electric cargo bikes & secure digital access for logistics operators using the PVerde App. This infrastructure enables goods to be transferred from vans to e-cargo bikes, ensuring cleaner, more sustainable deliveries.

The devices used are divided into two main types: beacons and trackers. The former, characterized by their small size, are equipped with sensors capable of  acquiring information (such as humidity and temperature) about the condition of what is being monitored (goods, boxes, vehicles). The  trackers, with more variable sizes, not only perform monitoring and geolocation activities but also send the data acquired from the monitored tools and vehicles, as well as from the connected beacons to the cloud platform.  For more information on the data visualization tools linked to the sensors, check the T&T&M Real-Time Transport Monitoring (Web Application) in the software tools section.

GGI’s web application provides a real-time, user-friendly view of vehicles, drivers, and equipment across the fleet. It visualizes live locations on a map, tracks individual vehicles with the “Follow Me” feature, and logs historical routes and events via a timeline. Sensor data, such as temperature and battery levels, can be monitored to trigger alerts, ensuring operational efficiency and safety. Its innovation lies in improving its functionalities to be adapted to smaller low-emission vehicles, especially cargo e-bikes for smarter, greener logistics. For more information on trackers, check the sensors in the hardware tools section.

Website

The dynamic e-routing tool optimises delivery routes to cut CO₂ emissions, travel time and distance while meeting service requirements such as delivery days and business opening hours. It continuously adjusts routes in real time, responding to unexpected events like road closures, vehicle issues or last-minute delivery changes, always selecting the best updated route available.

Website

The load optimisation tool automatically distributes parcels across the fleet according to each vehicle’s capacity, ensuring no vehicle is overloaded while minimising the number of vehicles used. It also can handle cargo bikes that, in the most common operation, make many smaller trips compared to larger vans or lorries.

The load-pooling tool places receivers at the center of the consolidation process by coordinating them with logistics operators through digital technologies, enabling flexible and efficient freight demand management without imposing constraints on stakeholders. It improves both B2B and B2C delivery efficiency by identifying opportunities to consolidate flows along shared routes.

The solution analyses the historical operational (route) data of the relevant logistics service provider and predicts which roads its delivery vehicles are likely to pass through with idle (available/unused) load capacity in order to fill that capacity with additional promotional orders located near those roads.

The network design tool supports strategic planning of urban delivery systems by identifying optimal locations for micro-hubs, sizing fleets, and assessing the impact of Limited Traffic Zones. It evaluates two-echelon delivery configurations, combining trucks, low-emission vehicles, and shared delivery points to minimise congestion and emissions.
The tool enables cities and operators to test alternative infrastructure setups and choose the most efficient and sustainable network design.

The forecasting and optimisation algorithms provide highly accurate, micro-area demand predictions to support short-term resource planning. They assess expected order volumes, required staff, and capacity needs while accounting for special periods and unexpected events.  
The system then optimises capacity, identifies shortages or excess resources, and generates preliminary staffing and vehicle schedules. It also integrates seamlessly with legacy systems, both ingesting operational data and exporting planning outputs in compatible formats.  
Through continuous analysis of historical data and aligned KPIs, the tool ensures consistent, data-driven planning across DECARBOMILE.  

The urban digital city models act as a shared, data-rich digital representation of each Living Lab, integrating 2D/3D city elements, transport networks, and operational data. They support short-term planning by modelling resource availability, routing scenarios, and future operational needs.
The models enable scenario evaluation, resource scheduling and dynamic routing, providing a flexible environment where cities can test improvements and optimise last-mile services. Through seamless integration with legacy systems, they ensure coherent data flows and consistent performance metrics.