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FleetCheck says large language models could let fleet managers ask questions directly instead of digging through dashboards. One example: asking which drivers are more than 25% below their vehicles’ WLTP miles-per-gallon figures.

Why it matters

Fleet News reports that FleetCheck is examining how to make this kind of AI use work with fleet software. It is a direction under consideration, not a confirmed feature or launch. The appeal is straightforward: get from a mass of operational data to a useful answer without making the manager hunt for it. The awkward question is how reliably those answers will hold up when the query gets more technical.

Discuss: Would you trust an AI assistant to answer questions about fleet performance, or would you still want to check every result in the underlying dashboard?

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