Logistics
Predictive operations cut downtime by 35%
Reactive maintenance and blind routing were costing millions. We made operations anticipatory.

−35%
unplanned downtime
+22%
on-time delivery
$8M
annual savings
The challenge
Fleet and warehouse equipment failed without warning and routing couldn't adapt to disruption, driving costly delays.
Our solution
We connected IoT telemetry into a streaming platform, built predictive-maintenance models and a routing engine that re-plans in real time around disruptions.
“We went from firefighting to forecasting. The savings paid for the program in months.”
Technologies used
PythonKafkaAWS IoTPyTorchGrafana
More work
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