A national café chain piloted CCTV quality monitoring across 20 outlets
A national café chain piloted AI quality monitoring on existing CCTV across 20 outlets — turning monthly mystery-shopper spot-checks into continuous, evidence-backed quality.
The challenge
Hygiene, service and grooming standards varied outlet to outlet, caught only on mystery-shopper visits after the fact.
Hygiene, service and grooming standards that vary outlet to outlet are usually caught only by occasional mystery-shopper visits — after the fact, on a tiny sample, with no continuous view across 220 outlets.
What we deployed
VISTA Quality Customer Care — AI computer vision on existing CCTV detecting hygiene, service and grooming issues in real time.
Key capabilities- Existing-CCTV AIAnalyses the cameras already installed — no new hardware.
- Hygiene detectionFlags hygiene issues in real time.
- Service monitoringDetects service-standard lapses.
- Grooming checksGrooming-standard violations flagged.
- Frame evidenceThe exact frame is captured as proof.
- Quality scoresEvidence-backed scores per outlet.
How it works
The existing cameras are analysed live; violations are flagged the moment they happen with the exact frame as evidence and routed to the outlet manager.
Outcomes
- Live hygiene and service violation alerts
- Evidence-backed quality scores per outlet
- No new hardware — existing CCTV
- Pilot across 20 outlets before scale
The use case in depth
Brand consistency across hundreds of outlets is impossible to police by sampling. Analysing existing CCTV with computer vision makes quality continuous — issues are flagged the moment they happen, with the exact frame as evidence, and routed to the outlet manager.
Because it runs on cameras the chain already owns, it's a software upgrade, not a hardware project — which is why it starts as a 20-outlet pilot that can scale across the estate once proven.
Explore UrSpayce VISTA
UrSpayce VISTA runs AI computer vision on existing CCTV to detect hygiene, service and grooming issues in real time, with frame-level evidence.
See UrSpayce VISTA →Frequently asked questions
Can AI monitor store quality on existing cameras?
Yes. UrSpayce VISTA analyses the CCTV a store already has to detect hygiene, service and grooming issues in real time — no new hardware required.
How is a violation evidenced?
The exact frame is captured as proof and routed to the outlet manager, and outlets get evidence-backed quality scores rather than occasional spot-checks.
Why start with a pilot?
Because it's software on existing cameras, a 20-outlet pilot proves value quickly before scaling across the whole estate.