Fleetenergies has announced the deployment of its RILCO AI technology, which enables it to integrate and enrich a single database with information about the fuel consumption, carbon dioxide (CO2 emissions and usage of heavy goods vehicles from eight major 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, Fleetenergies wrote in a statement.
It makes it possible to have continuous real time tracking of fuel consumption based on volume in litres, the statement noted.
According to Fleetenergies, through its patented method, it can 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, the company said.
According to Fleetenergies, it can also set up corrective actions for hauliers to take in order to reduce their fuel consumption and thereby their CO2 emissions.
The company claims that 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.