Big data can boost fleet management

While your fleet management system might be able to help you identify immediate obstacles, imagine if you could predict and prevent the next breakdown. While you might have a general view of how safely your operators are driving, what if you could stop a potentially dangerous manoeuvre in its tracks?

The impact of big data on fleet management can be truly transformative for your business, helping you to increase efficiency, enhance productivity, improve safety, and reduce costs.

By harnessing the power of big data in your fleet management system (specifically predictive analytics), you can start to identify patterns and trends in regards to when your fleet requires maintenance. Equipped with this information, you can schedule forklift maintenance and repairs in advance, as needed, to maximise uptime and keep your costs down.

If your fleet management system highlights a significant issue with a truck, you can take action before it becomes a real problem (for example, to prevent an accident or extended period of downtime due to a broken-down truck). This will help contribute towards a safer working environment, not to mention reducing costs and maintaining optimal productivity.

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Data points and telematics can also be used to provide feedback to drivers in real-time, reminding them to slow down or take necessary precautions when undertaking tricky manoeuvres. Again, this can help operators place increasing emphasis on fuel efficiency and enhance safety for operators and other nearby members of staff.

Fewer truck breakdowns, a reduced likelihood of accidents, and lower costs are a few of the tangible benefits your business could experience by harnessing big data-powered insights.

Fuel costs are among the most significant expenses for material handling organisations, especially if they’re used to working 24/7. The ability to reduce these costs can have a significant impact on your business’ overall profitability. 

However, by harnessing the power of big data, you can not only assess how much fuel is being used, but more importantly, how it’s being used. This can help to drive more fuel-efficient driving techniques in your operation.

The insights that big data reveals can be used to not only understand driver behaviour in more detail, but to inform future driver training and share best practices. This can be in relation to fuel consumption, safety, and much more. For example, if an operator is found to be consistently exceeding speed limits, you could ask them to attend a driver safety course.

For more information, visit www.tcm.eu