Thanks! You're booked.

Please check your email for a meeting confirmation that you can
 add directly to your calendar.
Predictive Maintenance Model for Brakes
“The Vehicle Health Report is valuable and informative. It identified a quick snapshot of the unit’s information. A detailed itemized list of present DTCs that included the dates of the codes with a detailed description.”
Get Your Free Copy →
Trusted by leading companies

Case Study

Summit Materials achieved 97.5% prediction accuracy

Pitstop automates data passing between our telematics and maintenance systems helping us get work done faster.

Justin P.

Pitstop's approach was multi-faceted and tailored to Summit's specific needs. By analyzing engine hours and applying predictive algorithms, Pitstop provided more accurate and actionable maintenance alerts. These alerts, preferred for their detailed descriptions, allowed for more efficient problem diagnosis.

Case Study

Fox & James Inc. Achieved $2000 saved per vehicle

“Pitstop added value by having a five hour drive time to clear codes. So I'm not looking at codes that are five days old—I'm only looking at issues that are relevant.”

Chris B.

It transformed how they handled data, allowing for more structured and comprehensive analysis. The capability to accurately identify and address inconsistencies and issues was significantly enhanced, creating a more accountable and efficient process.

Case Study

Cardinal achieved 25% reduction in fleet downtime

Pitstop allows us to make educated decisions on what needs immediate attention.

Allan B.

25% Reduction in downtime by standardizing diagnostic accuracy, prioritizing repairs, and focusing on preventive maintenance based on real-time asset health.