AI Footfall Analytics for Retail + Malls + QSR
“Someone has to sit and watch the cameras.”It doesn’t have to be that way.
Everyone learns to live with the gap between “something happened” and “someone noticed.” We did not. Let the cameras do the watching and your people do the deciding — alerted the instant it matters, not hours later. From “that is just how it works” to “wait — it could work like this.”
Turn Every Store Camera Into a Conversion Instrument
Beam counters miss double-entry, ignore groups, and cost per door. VIZO361° reads footfall off your existing CCTV — accurately, per zone, per hour, per staff shift. Live at a boutique chocolate retail chain for VIP shopper recognition + queue length, a multi-outlet Indian retail group for multi-outlet conversion tracking, and a specialty retail chain for zone-heatmap merchandising decisions. Store managers stop guessing which end-cap is working; regional heads stop paying for beam-counter maintenance.
See VIZO361° in Action
Watch how our AI transforms existing cameras into intelligent monitoring systems
Product Demo Video
Coming soon
What You Get
Accurate people counting — in, out, net footfall
Group-aware, direction-aware, entry / exit differentiated per door.
Zone heatmaps + dwell time
See which aisle, end-cap, or category holds shoppers vs bounces them.
Queue length + wait-time analytics
See queues form, catch understaffed shifts, reduce abandonment.
Conversion + staff-to-customer ratio
Footfall → POS transaction correlation. See conversion by staff shift.
Multi-store benchmarking dashboard
Central view of every store in the chain — conversion, dwell, queue.
Live across boutique, multi-outlet and specialty retail
Proven in retail chocolate, multi-outlet FMCG, and specialty retail.
Why Businesses Trust VIZO361°
Kill beam counters + per-door sensors
Runs on the cameras you already own. Zero per-door hardware cost, zero maintenance calls.
Anonymous by design — DPDP + GDPR compliant
No facial biometrics for footfall count; anonymous vectors for repeat-visit detection. Nothing leaves your ISO 27001 perimeter.
95%+ counting accuracy on existing CCTV
Overhead or angled 4 MP+ camera is enough. No re-cabling, no ceiling retrofit.
Live in 14 days per store
Pilot on one store, scale on validated conversion lift — no big-bang rollout.
The Peace of Mind You Deserve
Merchandising decisions on data, not guesswork
See which end-cap holds vs bounces shoppers. Reallocate premium space to top-dwell zones.
Queue-driven staffing schedules
Peak-hour understaffing alerts drive rota adjustments. Retail chains report 8–15% conversion lift within 60 days.
Comparable across stores
Like-for-like conversion + dwell metrics let regional heads coach outlier stores instead of blaming the numbers.
Executive weekly digest — automatic
Store leaders and CxOs get a one-page anomaly digest without hunting through BI dashboards.
Frequently Asked Questions
Straight answers to the questions buyers ask before they pilot.
How accurate is camera-based footfall counting versus a beam counter?+
95%+ on a 4 MP+ overhead or angled camera in a typical retail entrance. Beam counters miss double-entry, count a family of four as one, and fail on wide doors. Camera-based counting is group-aware, direction-aware, and calibrated per door — with far lower per-door cost.
Is footfall analytics DPDP + GDPR compliant if it uses cameras?+
Yes. Footfall counting is anonymous by design — the system does not enrol or store facial biometrics for the count itself. Repeat-visit and VIP recognition use anonymous re-identification vectors that stay inside your on-premise ISO 27001 perimeter. Consent, retention and right-to-be-forgotten are configurable per DPDP / GDPR / Oman PDPL requirements.
Can I correlate footfall to POS sales to compute conversion?+
Yes. The platform integrates with common POS systems and computes footfall-to-basket conversion by hour, by zone, and by staff shift. Multi-store chains use it for like-for-like comparison — instead of comparing raw footfall, you compare conversion per staff hour, which is the real productivity number.
Do I need to install new cameras for footfall analytics?+
No. Any 4 MP+ existing CCTV camera at the entrance, aisle, or checkout works over RTSP / ONVIF. Hikvision, Dahua, Axis, Bosch and Uniview are common in our deployments. First store live in 14 days.
What does the queue-length alert actually trigger?+
When queue length exceeds the SLA threshold you configure (e.g. 4 people waiting), the store manager and regional head are alerted via WhatsApp or mobile push in under 3 seconds. The alert includes the checkout ID, current queue length, and pre-roll clip — so the manager sees the actual scene, not just a number.
Book a 14-day footfall + conversion pilot
Join hundreds of businesses that stopped worrying and started knowing. Your cameras are ready - are you?