Hunter Engineering announced an integration with SKAIVISION, a Computer Vision AI company, with the aim to advance automotive service efficiency.
This integration combines cameras used by Hunter's Quick Check Drive inspection equipment with SKAIVISION AI technology to identify license plates as vehicles enter the service lane. The plate number is automatically matched to customer records, starting the clock to track service cycle times accurately.
"Quick Check Drive was designed for maximum speed, efficiency, and convenience, which is precisely what SKAIVISION is designed for," said Mike Brecht, product manager at Hunter. "This is a natural partnership."
SKAIVISION is the first ready-to-deploy Computer Vision AI solution that integrates with camera networks, offering service alerts, and improving operational efficiency. By tracking vehicle movement through the service process, SKAIVISION's AI app alerts staff to issues such as delays, bottlenecks, or customer satisfaction concerns (CSI).
"This integration offers unparalleled insights into service flow management," said Jason Fayling, co-founder and CTO of SKAIVISION. "With our AI system, [shops] gain full visibility into where and why bottlenecks occur. This integration results in a proactive, more efficient, and cost-effective approach to managing potential CSI issues, ultimately improving customer satisfaction and operational efficiency."
