Conveyor predictive maintenance

Catch conveyor failures before the line stops.

Predictive maintenance for your conveyor systems. Non-invasive sensors watch vibration, temperature, motor load and runtime — and flag the bearing, belt or drive problem weeks before it stops your line.

Prefer to start small? Ask about a single-line deployment.

Built on Google Cloud · installs in minutes · non-invasive · multi-site

What customers see · illustrative
Conveyor health · illustrative
Conveyor drive motor
Vibration trending up
Watch
Belt tension / runtime
Within normal range
Healthy
Take-up bearing
Temperature normal
Healthy

Conveyors fail in ways you can't see — until the line's down.

The hot bearing you find too late

Manual IR-gun rounds and listening surveys miss the bearing heating up between checks; it seizes and takes the drive with it.

Belt tracking & misalignment

Quietly chews the belt edge and idlers for weeks; you catch it after the damage is done.

Motor strain & belt slip

Load creeps up long before a stoppage, with no early signal to act on.

One stop, whole-line cost

Every unplanned stop is emergency labour, expedited parts and lost throughput.

Predictive maintenance on your conveyor in three steps.

1

Mount the sensor

Non-invasive, installed in minutes, no line shutdown, no rewiring.

2

AI watches the machine

Vibration, temperature, AC current/load and runtime, continuously, from day one.

3

Get alerts, work orders & reports

The platform turns the data into action: early warnings, recommended work orders and plain-language reports — across every conveyor and site.

From conveyor signal to scheduled fix.

Bearing & drive health

Vibration and temperature trends flag wear before failure.

Belt slip & motor load

AC current and runtime patterns reveal strain and slip early.

Plant-wide view

Every conveyor and site in one place; the worst-trending line surfaces first.

AI agents don't just chart data — they recommend the fix and the work order.

Real, measured results · 2025

We watched a $31,200 failure happen — with 48 hours of warning on the screen.

In a 2025 deployment at an Ontario building-products manufacturer, IoT Octopus watched a curing-oven conveyor drive motor in silent observation — and saw the bearing failure coming two full days out. This is what inaction costs.

$31,200 CADCost of the failure: $27,000 lost production + $4,200 repairs
48 hoursOf warning visible before the bearing seized
Under $200 CADThe lubrication job that warning pointed to
With alerts on, this is a sub-$200 lubrication job scheduled for the next maintenance window — not a $31,200 line-down event.

Read the full case study →

Why conveyor teams move to predictive maintenance Illustrative

$10k–$260k / hour

Typical published cost of unplanned manufacturing downtime · illustrative, varies by facility.

~35–45% less downtime

And roughly 70% fewer breakdowns — published predictive-maintenance impact ranges · illustrative.

Weeks of warning

Vibration, temperature and load approaches surface bearing, belt and motor problems weeks before a stoppage · illustrative.

Illustrative industry ranges, not measured Innovate-Ops results. Sources: U.S. DOE / industry predictive-maintenance studies — dornerconveyors.com, ifactoryapp.com.

Built for industrial reliability.

Built on Google Cloud

Secure, scalable infrastructure your IT team can trust.

Non-invasive, minutes to install

No line shutdown and no rewiring to get started.

Multi-site from day one

Every conveyor and site in one place, anonymized at our customers' request.

Manufacturing, warehousing & logistics

Built for the conveyor-driven operations that move product all day.

Book a conveyor demo.

See predictive maintenance running on your conveyor type — vibration, temperature and motor load. Installs in minutes, non-invasive, no line shutdown.

  • Built on Google Cloud
  • Per-customer data isolation
  • Ontario-based
  • A real person follows up within one business day

Real 2025 result: 48 hours of warning before a $31,200 bearing failure at an Ontario building-products manufacturer. Read the case study.

We never sell or share your details. See our privacy policy.

Prefer email? email us directly.