Case Study: Central California Transit agency reduces idling and fuel costs with Intangles AI

Central California Transit agency cuts fuel use 4% with Intangles

The Central California Transit agency, operating a fleet of over 150 buses, was struggling with excessive idling, speeding, and high operational costs. Their existing software provided inconclusive data, leading to inefficiency and increased fuel consumption. The agency sought a solution from Intangles to reduce fuel waste and improve driver behavior.

Intangles implemented its AI-driven predictive analytics platform on a pilot group of buses. The solution provided real-time alerts for issues like idling and high temperatures, preventing potential breakdowns. This resulted in a 150-hour reduction in weekly idling time and a 4% decrease in fuel consumption, saving $3,872 per month. Intangles also identified specific drivers for retraining, which improved safety and fuel efficiency.