Integrations
Tire intelligence that stays connected to fleet work. Use the systems your team already trusts.
Revvo combines supported tire and vehicle data with TireIQ analysis, then carries useful event context into fleet workflows.
Integration architecture
One condition, carried through a connected operating loop.
Each integration begins with a supported data contract and a clearly owned handoff.
Data in
Start with the available fleet data.
Revvo works with supported OEM, telematics, API, and sensor paths.
Intelligence
Identify the change that matters.
TireIQ interprets condition history and keeps it attached to fleet context.
Workflow out
Deliver a useful event.
Supported integrations make TireIQ context available where operations and maintenance already work.
Supported platforms
Choose the fleet environment your team already uses.
Review how supported tire context moves through TireIQ and into each connected fleet workflow.
Premier Marketplace partner
TireIQ intelligence inside the Geotab workflow.
Connect Revvo tire intelligence with MyGeotab, GO devices, and the Geotab Drive app.
- 01Supported tire and vehicle data
- 02TireIQ condition analysis
- 03Geotab fleet workflow
Maintenance workflow
TireIQ intelligence inside the Fleetio workflow.
Turn supported TireIQ events into Fleetio issues and actionable maintenance work.
- 01Supported tire and vehicle data
- 02TireIQ condition analysis
- 03Fleetio fleet workflow
Connected operations
TireIQ intelligence inside the Samsara workflow.
Bring tire insights, DVIRs, driver alerts, and supported data into Samsara.
- 01Supported tire and vehicle data
- 02TireIQ condition analysis
- 03Samsara fleet workflow
Fleet intelligence
TireIQ intelligence inside the Motive workflow.
Bring TireIQ alerts, driver messages, and analytics into supported Motive workflows.
- 01Supported tire and vehicle data
- 02TireIQ condition analysis
- 03Motive fleet workflow
Bring one real workflow
See where TireIQ fits your fleet.
Start with the data, vehicles, maintenance process, and systems your team already uses.
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