Aperia's tire analytics engine uses machine learning to characterize variables that affect and inform tire-related maintenance and operational decisions.  -  Photo: Aperia Technologies

Aperia's tire analytics engine uses machine learning to characterize variables that affect and inform tire-related maintenance and operational decisions.

Photo: Aperia Technologies

Aperia Technologies expanded its Halo Connect predictive tire maintenance platform to last-mile vehicles for heavy-, medium-, and light-duty commercial vehicle applications.

“Tire health remains critical to the safe and efficient operation of vehicles spanning all mobility segments,” said Judith Monte, VP of marketing and customer experience at Aperia Technologies, in a statement. “The Halo Connect tire maintenance platform leapfrogs existing available technologies, and its expansion into delivery vans now enables our clients to put all tires under management with a single platform, regardless of vehicle class.”

Halo Connect for last-mile applications helps fleets to eliminate unplanned tire-related downtime and reduce tire costs per mile. Its tire analytics engine uses machine learning to characterize interrelated and competing variables that affect and inform tire-related maintenance and operational decisions.

“Alternate technologies commonly overwhelm fleets with false warnings and incomplete information,” added Monte. “With Halo Connect, fleets receive accurate, time-bound maintenance recommendations that garner user trust and engagement.”

Aperia’s expansion onto last-mile applications will add access to its predictive tire maintenance analytics. The company recently announced about one million tires are under management with iits commercial vehicle tractor and trailer applications.

Originally posted on Trucking Info