Logistics

Predictive operations cut downtime by 35%

Reactive maintenance and blind routing were costing millions. We made operations anticipatory.

Predictive operations cut downtime by 35%

−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.
Director of Operations

Technologies used

PythonKafkaAWS IoTPyTorchGrafana

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