Geotab asset visibility: mixed-fleet utilisation insights for civil project teams
Reviewed by Joe Ashwell

First reported on Roads & Infrastructure (AU)
30 Second Briefing
Geotab is extending telematics beyond on‑road trucks to give infrastructure and transport operators live visibility of mixed fleets, including trailers, plant and non‑powered assets, via its GO9 device and asset trackers on a single cloud platform. The system combines GPS, engine CAN‑bus data and sensor inputs to monitor utilisation, idling, fuel burn and harsh events, while also locating unpowered equipment that traditionally goes “dark” between jobs. For civil contractors and road agencies, this supports tighter asset allocation, reduced rental and standby time, and better maintenance scheduling across dispersed worksites.
Technical Brief
- Data from both device types is normalised into a single cloud database, enabling cross‑asset utilisation analytics.
- Customisable geofences allow contractors to define work zones, laydown areas and depots for automated arrival/departure logs.
- Integration APIs are provided so telematics data can feed existing ERP, maintenance and project‑control systems.
- For multi‑contract fleets, the same hardware and dashboards can be replicated across different principal contractors’ reporting requirements.
Our Take
Geotab’s presence in multiple Roads & Infrastructure Magazine pieces suggests it is positioning itself as a core telematics platform provider for Australian fleets, rather than a niche add-on product.
With 740 Infrastructure stories and over 2000 tag-matched pieces in our database, relatively few focus on telematics in Australia, so Geotab’s recurring coverage signals that digital fleet visibility is becoming a more prominent operational theme for road and civil contractors.
The related Geotab Connect 2026 roadmap article indicates that AI-driven video safety is being bundled with asset visibility, which is likely to push Australian fleet operators towards integrated hardware–software refresh cycles rather than incremental retrofits.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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