Case Study: a municipality achieves lower repair costs and higher fleet availability with Intangles predictive maintenance

Municipality saves over $500 per vehicle per month with Intangles

The customer, a large regional municipality, faced challenges in managing its fleet of refuse trucks, aiming to reduce repair times, predict potential breakdowns, and increase fuel efficiency and asset availability. They partnered with vendor Intangles to implement its AI-powered predictive fleet maintenance system as a pilot program.

Intangles' solution provided real-time predictive alerts for engine faults, identifying issues before standard diagnostic codes were triggered. This allowed for preventative maintenance, which saved an estimated $4,200 in repair costs during the pilot and over $500 per vehicle monthly. The increased asset availability also allowed the municipality to consider selling reserve vehicles. Following the successful pilot, Intangles was installed across the entire refuse truck fleet.