SMART 360° FLEET PREDICTIVE ANALYTICS

A matter of safety

Basic ABC(S) (Acceleration, Braking, Cornering, and Speeding) analytics are widely used to monitor driving behavior, but they do not mirror your drivers’ exposure to an accident. Why that? Simply because they do not contextualize these risk events. Imagine a simple scenario: you are accelerating as you are entering a highway. Without context, this maneuver could be detected as a risky driving event — which it is obviously not. However, being speeding much faster than the average traffic in an urban environment but being slower than the speed limit indeed increases your risk of having an accident. The difference between both is the augmentation of mobility data with its spatial-temporal context. Where and when your fleet members are driving is significantly influencing their risk and your opportunities to coach them in safe driving to predictively lower accidents. Side note: A proven low-risk portfolio of your fleet will allow you to negotiate better tariffs with your preferred insurance partner. Lower accident risk means lower claim costs — every insurer likes that type of customer.

Optimizing eco-efficiency

Over the past years, the lifeblood of your fleet — fuel — has become more and more expensive. Coaching drivers in eco-efficient driving, meaning helping them improve their driving style (e.g., avoiding aggressive driving, harsh acceleration, …), is a proven means to cut costs and stay competitive.

Re-thinking fleet composition

On par with lowering fuel consumption, the increasing number of commercial vehicles powered by electricity allows fleet operators to optimize their fleet. Still, there is a lot of insecurity around if it makes sense to flip from traditional combustion to hybrid or full EV. Fleet operators and managers need to have deep insights into their overall fleet’s mobility patterns, such as average trip distances, idle times available for charging, charging infrastructure at trip end locations, and along the most common routes, among others. With all the data already available, fleet operators can objectively assess EV suitability to be prepared for upcoming regulatory changes regarding CO2 emissions.

The first step into the predictive fleet maintenance

Vehicle downtimes are causing costs — not only repair costs but also the ones of unproductive workforce and revenue loss. Assessing the influence of individual driving behavior on vehicle component wear gives you insights into your fleet’s health status and lets you coach your drivers to reduce wear. Before a breakdown happens, scheduling maintenance is much more favorable and cheaper than all related costs of corrective, ad-hoc repairs.

Intelligent route planning

Each and every route has its characteristics: the number of accidents happening, the route topology, among other factors. Rating routes not only by distance and the probability of traffic, but profiling them regarding the three dimensions of risk, eco-efficiency, and wear allows you to assess the costs for a trip holistically. Stop thinking one-dimensional but harness the power of data to create a smart way of route planning.

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