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Case Study

How Troiano Waste Services Pioneered AI-Driven Predictive Maintenance

How Troiano Waste Services Pioneered AI-Driven Predictive Maintenance

How Troiano Waste Services Pioneered AI-Driven Predictive Maintenance

Tensor Planet
Pages 1 Pages

This case study highlights how Troiano Waste Services, a Maine-based waste hauler, partnered with Tensor Planet to deploy AI-driven predictive maintenance across its fleet using existing telematics, repair history, and diagnostic data—without requiring new hardware or manual data preparation. By modeling exhaust system performance and predicting diesel particulate filter (DPF) failures before they occurred, the solution reduced exhaust repairs by 41%, prevented more than four service disruptions per week, and generated over $18,000 in savings during a 10-week pilot, with projected annual savings exceeding $87,000. The case demonstrates how AI-powered predictive maintenance can improve fleet reliability, reduce maintenance costs, minimize downtime, and integrate seamlessly into technicians' existing workflows.

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