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Optimizing Container Load for Parcel and Pallet Transport Networks

Project description

AI-driven software for delivery trucks and vans

Transport is a big source of greenhouse gas emissions, and cities are feeling the brunt of last-mile deliveries. Scenes of delivery trucks and vans whirring across town or stuck in traffic are common. It is also common for trucks to be driving around half-empty due to poor line-haul capacity utilisation in groupage parcel and pallet networks. This leads to significant CO2 emissions, congestions, traffic jams, high noise levels and low margins for logistics companies. In this context, the EU-funded PrEDICTS project will bring to market cargo optimisation software based on AI and machine learning. The new solution will take a logistics company’s historical data, cleanse and enrich it and optimise logistics based on shipping behaviour predictions. Moreover, it will suggest ways of better capacity utilisation.

Call for proposal

H2020-EIC-SMEInst-2018-2020

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Sub call

H2020-SMEInst-2018-2020-1

Coordinator

TRANSMETRICS AD
Net EU contribution
€ 50 000,00
Address
Knyaz Boris I Str. 164, Floor 2
1000 Sofia
Bulgaria

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Region
Югозападна и Южна централна България Югозападен София (столица)
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 21 429,00