Case Study: a owner of 100 long-haul freight trucks achieves higher uptime and fuel efficiency with Intangles AI predictive fleet maintenance

The owner of 100 long-haul freight trucks boosts fuel efficiency 8% with Intangles

The owner of a fleet of 100 long-haul freight trucks faced challenges with unplanned downtime, high repair costs, and poor fuel efficiency across its vehicles from six different OEMs. Their primary objectives were to predict issues before breakdowns occurred and to increase fuel economy. They partnered with Intangles to implement its AI-powered predictive fleet maintenance system as a pilot program.

Intangles' solution detected engine faults in 37% of the pilot vehicles in real time, often before standard diagnostic codes were triggered. This allowed for preventative repairs that increased a truck's fuel efficiency by 8% and projected annual fuel savings of over $4,500 per vehicle. The system also helped avoid a potential $9,000 repair bill on one truck. Following the successful pilot, Intangles was installed across the customer's entire fleet of 100 vehicles.