fleetenergies announces the deployment of its RILCO AI technology, which enables it to integrate and enrich a single database with information about the fuel consumption, CO₂ emissions and usage of heavy goods vehicles from eight main manufacturers: DAF, Ford, Iveco, MAN, Mercedes, Renault, Scania and Volvo.

This artificial intelligence engine is the product of a machine-learning approach operated on billions of pieces of proprietary data collected over 14 years and combined with a database of 40,000 types of truck fuel tanks. It makes it possible to have continuous real time tracking of fuel consumption based on volume in litres.

By means of its patented methodology, fleetenergies is able to provide shippers with data on emissions in real conditions that are essential for carbon accounting (scopes 1 and 3), as detailed as the footprint left by each individual palette that is loaded. It can also set up corrective actions for hauliers to take in order to reduce their fuel consumption and, thereby, their CO₂ emissions.

Shippers have this information at their disposal as soon as their chosen hauliers are connected to the RILCO AI platform. In this way, fleetenergies enables its shipper clients to benefit from the 15% reduction in CO₂ emissions from hauliers that it has achieved.

This data engine meets a growing demand on the part of the largest companies in the world which now have to be able to publish a carbon assessment that has been extended to scope 3, which includes all indirect emissions, notably those associated with transportation.

“RILCO AI is a major breakthrough in the measurement of the carbon footprint of road haulage. This unique system provides all hauliers and shippers with an automated decarbonization process making it possible to realize carbon accounting and reduce emissions.” - Éric Elkaim, CEO of fleetenergies