Multi-site retail's AI moment isn't replacing tills; it's normalising the mess between sites. The wins live in giving HQ a single comparable view of all locations and giving each location a smarter floor.
From a confidence-building first step to a transformative bet.
// What
Pull EPOS + footfall + staff-on-floor into a single dashboard with site-level comparable metrics.
// Why
You can't manage what you can't see consistently. Without this, every other AI investment is wasted.
// What
Cheap edge cameras counting entries, dwell zones and conversion. No facial anything.
// Why
Turns 'we feel busy' into a number HQ can act on.
// What
Stock + staff allocation across sites driven by combined live signal + 30-day predictions, with manager override.
// Why
Only worth doing once the data fabric is reliable. Skip if you don't have it.
A Viseron-shaped service that watches any RTSP stream and emits structured labels (people, vehicles, animals, parcels) for downstream automation.
Edge cameras + small object-detection model giving bar staff a live read on queue length, refusal risk and crowd density.
Customers bring their own Twilio/SMTP/Slack creds; we run the routing, dedup, escalation and audit trail.
The single highest-ROI AI project for multi-site retail is usually 'making sure every site reports the same numbers the same way'. It's not glamorous; it's the prerequisite.