Should we switch our fleet to predictive maintenance based on real-time data?
#1
I’m trying to figure out if it’s worth it to switch our small fleet from a standard maintenance schedule to a predictive one based on real-time vehicle data. The telematics system we’re looking at promises big savings on unscheduled downtime, but I’m not sure if the cost and complexity will actually pay off for our regional delivery operation.
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#2
Last year we switched a small subset of our vans to predictive maintenance. In the first couple of months we avoided two surprise brake service calls and the shop could plan around it rather than chase parts. It felt like a real shift from reacting to data to planning around it.
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#3
The ROI math got tangled. We tracked uptime, but the telematics noise was high: a lot of false positives and inconsistent data quality from a few sensors. The team started tuning thresholds and then kinda gave up on the alerts.
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#4
Is the real bottleneck uptime or route scheduling, and would predictive maintenance even address the thing that actually slows us down most on regional deliveries?
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#5
I also drifted into thinking maybe winter tires or road salt triggered alerts more than actual failures, so we ended up using it as a reminder to rotate tires and check brakes before trips. It helped a bit, but I’m not convinced the cost is worth it for us yet.
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