Choisir le bon fournisseur de télématique n'est pas chose facile. Notre dernier article de blog permet de vous simplifier un peu la tâche.Choisir le bon fournisseur de télématique n'est pas chose facil… twitter.com/i/web/status/1…
Climate change is a threat to our planet. As European and UK regulations are reinforced to lower carbon emissions, companies also have a key role to play in becoming compliant and addressing this issue.
Through using Masternaut telematics, our customers save a combined 230,000 tonnes of CO2 each year. This is 87,800,000 litres of fuel and approximately £113,262,000 of savings.
Our complimentary Fleet CO2 Certification programme, verified by The Energy Saving Trust, rewards efforts to improve environmental performance and reduce businesses’ carbon footprint.
Transport is the largest emitting sector of greenhouse gas emissions in the UK. As the majority of a fleet’s CO2 emissions come from burning fossil fuel, the best way to lower these emissions is to lower your fuel consumption.
Several methods and best practises can help you do this, most of them using telematics. We will hold a webinar on 21st May 2019 to present five actionable measures to lower the fuel consumption and CO2 emissions of your vehicles.
Attend our webinar to discover our tips and how to put them into action for your fleet.
Our patented CAN bus clip technology allows us to measure mileage and CO2 emissions accurately from each vehicle.
Our Catalytix Data Science team then compares emissions vehicle by vehicle (anonymised of course).
We reward fleets with exceptional performance in:
Discover all details of the analysis here:
“The Energy Saving Trust has conducted a limited assurance verification of Masternaut’s Fleet CO2 Certification methodology and can give assurance on its accuracy as a measurement of CO2 improvement. The method of CO2 emissions calculation used by Masternaut is based on primary fuel data captured which generates the highest precision level for CO2 emissions calculations. When these values are combined with vehicle distances then the resultant outputs can be used to assess vehicle efficiency on an ongoing basis.”
