RILCO AI allows fleetenergies 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 liters.
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), detailed as the footprint left by each individual palette that is loaded. It can also set up corrective actions for haulers 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 haulers 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 haulers that it has achieved.
This data engine meets a growing demand on the part of the largest companies in the world that 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,” said Éric Elkaim, CEO of fleetenergies. “This unique system provides all haulers and shippers with an automated decarbonization process, making it possible to realize carbon accounting and reduce emissions.”
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