The Locus Intelligence Risk Engine is the core detection component of the platform. It continuously monitors a defined set of performance signals from every location in the brand’s dealer network and maintains a dynamic risk classification for each location based on the signals it is receiving.
Risk classification is maintained on a four-level scale: Low, Medium, High, and Critical. The classification reflects the current state of multiple signals simultaneously: a location with a declining review score, a low call response rate, and an unresolved outstanding alert is classified differently from a location that has one of those three issues in isolation.
The Risk Engine generates alerts when a location’s signals cross defined thresholds. Alerts are typed: a call handling alert is different from a review score alert, which is different from a listing accuracy alert. Each alert type has its own defined routing, response window, and escalation path within the governance framework.
The directional forecast capability provides a predictive layer: based on current trends in each location’s signals, the Risk Engine estimates where the location’s performance is heading over the next 30 to 90 days if current patterns continue. This gives the accountability owner a sense of whether an intervention is urgent or whether there is time to plan a measured response.
The Risk Engine is the layer that converts raw location data into actionable governance intelligence. Without it, the data exists but requires human synthesis to be meaningful. With it, the data continuously produces a prioritised view of which locations require attention and why.
See how Locus Intelligence manages this across your dealer network in 30 days.