Top 3 fleet management trends to look forward in 2019

Posted by

Hitanshi D Rathod

It’s an exciting phase for the trucking and fleet management landscape as technological advancements are at a breakneck speed. The adoption of machine learning, artificial intelligence and Internet of Things (IoT) has been on the rise, paving the way for intelligent telematics and smarter fleet management.

Here are some of the top trends from the fleet management software industry in 2019.

Video telematics and Advanced Driver Assistance System (ADAS)

The growing accident rate and the exorbitant compensation and legal costs that the fleet businesses have to bear has put driver safety in the limelight.

While fleet management software was effective in monitoring aggressive driving behavior, the implementation of in-cab dash cam and front-facing cameras can now give fleet managers the whole picture. With the video footage, fleet managers can analyze the situation to understand when and why the drivers put the pedal to the metal or applied the sudden brake.

This will be crucial in monitoring driver behavior accurately, fighting against false accident claims and reducing accidents. Besides, video telematics has been vouched by the insurance companies as a major piece of evidence for accident claims and this is reason enough for the trend to become increasingly relevant in 2019.

As for ADAS, technology has a huge role in monitoring driver distraction and driving patterns. The adoption of artificial intelligence and machine learning in advanced driver assistance system has opened up multiple opportunities in lane departure assistance, identifying driver drowsiness, fatigue and under-influence driving.

Such intelligence will further improve safety standards and minimize accident costs.

ADAS - Fleet on-road safety

Predictive maintenance

Unexpected vehicle breakdown can cause major ripples across the operations and cost businesses thousands in the form of penalties and poor reputation. In this era, fleet managers cannot afford to jeopardise their delivery commitment. And that’s when predictive maintenance can be a real game-changer.

The implementation of onboard diagnostics coupled with artificial intelligence can help fleet managers identify parts failure even before they occur. This way, fleet managers can plan maintenance schedule based on actual engine data, rather than mere guesswork.

Data analytics

Fleet data remains the most invaluable factor today. Businesses continue to realize the importance of data and the part they play in formulating effective strategies. Where fleet managers earlier conducted daily operations, fleet management software gives an insight into every single process, giving you a complete outlook on areas that may have hidden opportunities.

For instance, take a look at a vehicle’s productivity. You may assume that your vehicle is active as it spends most of the time on the road, but, in reality, how many hours is it exactly involved in a job? Data analytics can shed light on everything from cost-draining factors to ideas on how to increase productivity and operational efficiency.

With visibility comes insights; with insights comes improvement. And this year will see more and more companies investing in extracting data that can empower their decisions.