As the transportation industry has evolved, telematics has emerged as a key aspect of modern fleet management. With it, companies can gain visibility into where vehicles are and how they’re performing at any given time. However, while access to previously unattainable operational data can help businesses make better decisions, there are limitations.

That’s because telematics technology still relies on humans to interpret the data collected before taking action. This is a very difficult process to scale, as data volume grows overwhelming as a fleet expands.

I recently had the privilege of contributing an article in Fleet Equipment on technology in the transportation industry. In it, I outlined some of these telematics shortfalls that can affect fleet managers, including:

Data Excess & Context – The person trying to make sense of a mountain of operational data is often working in a vacuum, cut off from the field. In those conditions, how can you be sure what a diagnostic trouble code (DTC) really means?

Maintenance Guesswork – Lack of data clarity affects fleet upkeep and performance beyond false positives and negatives. Manufacturer maintenance schedules and static repair steps don’t account for countless variables. So diagnosing failure events can require speculation, extending MTTR.

Reactive Operations – Managing information relayed from the field in a dashboard is a passive approach to fleet operations. It’s hard to manually identify patterns and adapt based on historical insights. This hurts your ability to recognize problems preemptively and limit unplanned downtime.

Thankfully, these issues are avoidable. Commercial applications that incorporate Internet of Things (IoT) concepts can help transportation companies gain unprecedented benefit from their fleet data. To get the rest of the story, check out the full article.

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