15 September 2022
5 min read

Fleet driver safety data doesn’t have to be complicated

AI simplifies driver risk analysis for improved safety and efficiency

Today, almost every aspect of fleet management involves a huge amount of data. And while all data is potentially useful, the sheer volume of it – and what to do with it – can be overwhelming for fleet operators.

Let’s focus on the safety and environmental concerns of running a fleet as an example. Many fleet operators collect data from multiple sources such as telematics devices, dashcams, black-boxes, mapping technology, direct from the vehicle itself, and many others. This data can provide useful insights into how drivers and vehicles interact with the roads and environment. Yet interpreting the data and using it to stay on top of safety issues is not always easy.

Big data is getting bigger

“Big data” is a common term in fleet risk management. It basically refers to large amounts of structured and unstructured data from various sources. And the number of sources continues to grow.

Leveraging big data is important for fleets. It can help with everything from scheduling and routing to managing driver behavior. But to really get to grips with safety and sustainability, it’s how the data is analyzed and interpreted that really matters.

There are several tools on the market that “aggregate” multiple data sources and most of them have a corresponding “score”.  These scores cover all manner of outputs including operational performance, fuel/eco scores and of course driver/fleet risk scoring. To turn big data into useful outputs these scores must be correlated to actual real-world outcomes. This is especially true when it comes to risk or eco data. Insurance companies and Boards of Directors are focused on the ESG aspect. They therefore expect to see how scores correlate to the real world.

Creating a risk picture for individual drivers

For fleet operators, this is a crucial aspect of driver risk management. Being aware of individual driver risk is important for many reasons. It helps maintain safely levels. It helps ensure training is assigned where it’s needed. And it ultimately helps improve the bottom line.

With so much data available, the challenge is bringing it all together to create an individual risk picture for each driver. At Greater Than, we help fleets overcome this challenge by uncomplicating data. Our AI provides fleet operators with predictive risk insights for every driver, across the entire fleet. Because our data works in real-time it ensures continuous validation of risk to help prevent incidents before they happen. In other words, our score is correlated to actual outcomes.

Acting on data insights

Data is worthless if it doesn’t lead to action. And one of the major benefits of having an uncomplicated picture of driver risk is that it enables prompt, effective action. How data is acted upon depends on the requirements and goals of the fleet operator.

Driver training is a key area that can be enhanced with data. For example, with accurate risk insights, fleet operators can identify the drivers most in need of training and education. More importantly, they can pinpoint the exact areas in which drivers need training. There are also many other benefits of enhanced risk insights that help fleet operators identify areas of the organization that may not be giving the driver an opportunity to succeed.

Achieving business goals with AI

Having a complete overview of risk and eco influence at the individual driver level is good for business in many ways. Armed with precision individual risk levels, fleet operators are in a good position to obtain tailored insurance pricing. By sharing driving data with their insurer, a fleet may be able to access dynamic pricing that recognizes and incentivizes safer driving.

Incentive and gamification programs are other considerations for fleets. Real-time assessment of driving behavior can lay the foundation for safety programs that provide transparency to drivers. By being able to see a real driver score, and how their score compares to others’, drivers are encouraged to adapt their driving style to climb the leader board. This is good for a fleet’s safety performance, and good for road safety in general.

How driver risk insights link to sustainability

The relationship between driver safety and sustainability remains an overlooked area of driver risk management. Yet, it’s only going to increase in importance. Soon, many companies – if they’re not already – will be facing taxes on their carbon output. Being able to measure usage will be a key priority.

While risk isn’t necessarily the first consideration when discussing fleet sustainability, it should actually be the starting point. At Greater Than, our artificial intelligence (AI) is not only trained with real driving claims, but also with fuel consumption and CO2 output. The AI is therefore an enabler to help fleets reduce their CO2 and environmental footprint.

From big data to big opportunities

Fleets are facing many challenges. And common to all fleets is the need to measure driver risk. Yet, despite the huge amount of data available to them, many fleets do not yet have a simple way of identifying driver risk at the individual level. With Greater Than’s AI, fleets can gain direct insights into the actual real-time risk of all their drivers. These insights can be used in many ways.

Whether you’re looking to identify risk to provide training, work with your insurer for more accurate pricing, or need help with CO2 reporting, we can help. Contact Greater Than or book a meeting with me to discover how your business could benefit from accurate risk profiling for each driver.

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