Predictive Fleet Maintenance AI

An ML-powered maintenance prediction system reducing vehicle downtime and optimizing fleet performance with accurate health analytics.

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Case detail

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Project challenges

Analyzing real-time telemetry and diagnosing faults ahead of failures required precision and rapid alerts across large fleets.

Processing continuous IoT data streams.
Early prediction of mechanical failures.
Integrating seamlessly with fleet management tools.
Keeping operational alerts simple for field teams.

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The solution

We built a predictive maintenance layer that analyzes behavior patterns and alerts teams before issues escalate — improving asset lifespan and performance.

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The result

Fleet operators reduced breakdown events and maintenance cost significantly.

60

%

Decrease in breakdowns

25

%

Lower maintenance

99

%

Fault detection alerts

Project information

Date:

December 4, 2025

Client:

DriveLogistics India

Industry:

Transport & AI

Services:

IoT + AI Analytics, Dashboard Design

Technology stack:

Python, Kafka, AWS IoT, React

“This solution made fleet health visible like never before.”

Liam Parker

Operations Lead

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