Webfleet’s Predictive Vehicle Health Management (PVHM) uses AI-based algorithms to deliver accurate predictive insights, enabling fleet managers to plan vehicle maintenance proactively and efficiently. The collaboration brings together Webfleet’s latest developments on vehicle diagnostics with Questar’s AI-driven predictive technology.
“By uniting Webfleet’s deep expertise on vehicle insights and best-in-class user interface with Questar’s advanced AI capabilities to pre-identify failure risks, we are redefining fleet management,” said Jan-Maarten de Vries, president of fleet management solutions at Bridgestone. “This is the first large-scale integration of predictive vehicle health management available in a single interface.”
Through the integration of Questar’s data into the Webfleet platform, Webfleet and Questar are at the forefront of innovation with this one-stop-shop experience. Using big-data, predictive insights and early-warning recommendations, Webfleet allows fleet managers to identify potential breakdowns before they happen. This enables fleet managers to pre-emptively schedule maintenance activities, reducing their downtime and maintenance costs. PVHM achieves this using 360 degree fleet visibility based on Questar’s proprietary Machine Learning and AI models to understand vehicle health across time.
Questar’s vehicle data includes past performance, current condition and future risk forecast, to detect critical issues early. Questar’s technology leverages two decades of analytical learning and advanced AI to detect complex patterns in vehicle behaviour.
