RavenEye detects what's slipping on the floor, hands the fix to the right person with a due time, and proves the store recovered — on the cameras you already have.
The execution gap
They record, summarize, and notify. But operations only improve when a live signal becomes an owned task, a due time, proof of completion, and proof the condition actually recovered. That last mile is where the money is — and where most tools stop.
How it works
RavenEye watches your existing cameras for the conditions that matter — bay stalls, idle bays, long waits, unattended desks.
The right person gets a specific task with a due time — not another alert into the void.
If it's missed, it escalates. Nothing quietly expires.
Leaders see whether the bay actually recovered — response time, completion, and avoided loss by location.
Why RavenEye
Detection becomes an owned, time-bound task with escalation and proof of recovery — not a dashboard you have to remember to check.
A car on the lift with nobody on it is the expensive case. Our activity classification separates a bay being worked from one merely occupied.
When several cameras cover a bay, RavenEye fuses them into a single logical bay — so counts and utilization stay honest.
Private by design
RavenEye processes the camera feed on a device in your store. There's no cloud DVR, no continuous video leaving your network, and no one watching your cameras remotely. Detection runs on-site; only the operational signal goes to your dashboard.
Who it's for
Especially strong for operators who already suspect bays are underused or customers wait too long — but can't prove where, when, or how often. Works with your existing cameras; no rip-and-replace.
A short first conversation around bay utilization: which bays underperform, who should own the response, and how throughput improvement gets measured.
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