Is predictive maintenance actually worth it for trucking companies?

Yes — when it's built around your real workflow, not a generic template. Unplanned downtime down 71% for an industrial client.

How long does predictive maintenance take to implement?

A working pilot inside weeks, not months. We ship early, measure honestly, and scale only what proves itself.

What tools do you use for predictive maintenance?

We build with the right tool for your team — most often: AWS IoT, Custom ML, Slack alerts, Grafana. We're tool-agnostic and results-obsessed.

Predictive maintenance for trucking companies.

Catch the failure before it happens. Sensor-driven monitoring and ML-powered alerts for equipment, vehicles, and infrastructure — so you fix things at 2pm Tuesday, not 3am Friday.

NZ-built Pilot in weeks, not months We stay through adoption

Real result

Unplanned downtime down 71% for an industrial client.

Why trucking companies specifically

✕ logbook compliance audits
✕ load assignments that change last minute
✕ fuel and tyre tracking across the fleet

The trucking company reality

What we keep hearing from NZ trucking companies.

NZTA work-time rules, RUC management, and driver shortages make manual coordination unsustainable.

What we build

Predictive maintenance, tailored to trucking companies.

◆ IoT sensor deployment and data pipeline
◆ Anomaly detection trained on your equipment history
◆ Alerts routed to whoever can actually fix it
◆ Reduction in unplanned downtime, measured monthly

Built on: AWS IoTCustom MLSlack alertsGrafana

Predictive maintenance for other NZ industries

Other things we build for trucking companies

Ready to talk specifics?

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