The largest component of TCO of a Fleet vehicle is the amount of depreciation it suffers over the lease period. Minimising depreciation to achieve a higher residual value (RV) is vital when minimising TCO. Brand, model, mileage and condition are all basic components of residual value, but also crucial to consider is vehicle specification. Choosing the right trim level or adding the right optional equipment can have a major impact on residual value.
When your Fleet is Connected by Harman you can expect up to 3% higher residual value of vehicles after 36 months*
A recent study from AIC—part of EurotaxGlass’s— proved that vehicles that are Connected by Harman in-vehicle technology benefit from up to 3% extra residual value. The benefit of this higher RV on the TCO of fleet vehicles means that it is essential for a Fleet Manager to consider a Harman technology when ordering their fleet vehicles or designing fleet policy.
Example BMW 3 series Connected by Harman: Residual Value (RV) of BMW 3 Series after 36 months**
Source: motors.co.uk ETG AIC analysis.
The impact of being Connected by Harman premium in-vehicle technologies is far wider that simply lifting the RV. Connected by Harman IVT brings additional state- of-the-art features and capabilities into the vehicle that benefit the driver and the Fleet Manager, such as:
The most successful brands in the world use our leading in-vehicle technologies:
* 0,155 individual market observations of Audi A4, BMW 3 Series and Toyota Auris in Germany and UK were analysed in a multivariate regression setting to validate and quantify the impact that the different grades
of navigation systems have on used car price formation. Results confirm that the Harman Infotainment/ Navigation systems drive absolute residual values up by 2-3% vs. the entry navigation systems, e.g.,tt MMI
Navigation in the case of Audi and Navigation Business in the case of BMW.
** Calculated absolute dealer offer price in the UK including VAT; BMW 3 Series, Sedan, 220ccm, diesel, AT. 18,600 mls p.a. equipment adjusted; ceteris paribus. Results are statistically highly significant: all analysed variables are significant drivers of offer prices and the overall quality of the model is high. R2 = 0.87.