Fleet Analytics

Fleet analytics is the process of collecting, reviewing, and interpreting telematics data to measure performance and make informed decisions. It focuses on key performance indicators (KPIs) like fuel consumption, idle time, vehicle utilization, and cost per kilometer.

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AI & Machine Learning

21

Telematics & Connectivity

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Predictive Maintenance

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What are the key performance indicators (KPIs) tracked by fleet analytics?

Fleet analytics is the brain of modern fleet management.

It transforms a stream of raw data into structured, actionable information through dashboards and reports.

The goal is to provide a clear picture of operational performance by tracking essential key performance indicators (KPIs).

Among the most important are: - **Cost per kilometer/mile:** The ultimate KPI that synthesizes all costs (fuel, maintenance, etc.

) relative to distance.

- **Fuel consumption:** To identify the most and least efficient vehicles or drivers.

- **Idle time:** A direct waste of fuel and a source of unnecessary engine wear.

- **Vehicle utilization rate:** To ensure assets are productive and the fleet is not oversized.

- **Driver safety score:** Based on harsh driving events, to target training.

- **On-time performance:** To measure the punctuality of deliveries or service calls.

By monitoring these KPIs, managers can identify problems, set improvement goals, and measure the impact of their actions.

TAGS

fleet management KPIs

cost per kilometer calculation

reduce idling time

fleet dashboard

vehicle utilization rate

Related Terms

Fleet AI Analytics

GPS Fleet Management

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