The cameras already know. Now they tell you.
Retail footfall analytics on the cameras you already have, counts, demographics, dwell time, peak hours. Daily store briefs and regional rollups. Same cameras that catch shoplifters, telling you when to staff, what to promote, and which stores need attention.
Business Intelligence
Northgate · last 30 days
Four lenses on the day, the week, the estate.
Not just a number. A number with context, vs yesterday, vs last week, vs the regional benchmark.
Footfall & conversion
Counts at the door, at the till, at the high-margin aisle. Conversion from 'in the store' to 'in the basket', without integrating with EPOS.
Demographics & peak profile
Anonymous age bands and gender splits. Who's in your store at 11am vs 6pm. Is the product mix in your endcaps actually targeted at them?
Daily & regional brief
Morning of, on your phone. Your store yesterday vs your region. Three things to act on today. No dashboards to log into.
Anonymous by default. Aggregated by design.
QuantumEye watches the floor anonymously when no face is matched. No identities stored. No profiles built. Just the patterns of the day.
Anonymous counting
Per-camera footfall tallies. Aggregated per zone. No identity attached unless a face matches your watchlist or whitelist.
Demographic estimation
Age band and gender estimated at the frame, then aggregated. The individual estimate is discarded, only the aggregate persists.
Brief at 08:00
Yesterday rolled up overnight. Your store, your region, your action items, waiting on your phone before the store opens.
Morning brief, yesterday at a glance.
Illustrative scenario. The manager opens the brief: visitor count, peak hour against the daily average, demographic mix, and the surge windows that are under- or over-staffed. Three actions ranked at the bottom.
Business Intelligence
Customer demographics and behavioural insights
Pairs well with
Footfall & Heatmaps
Live density by aisle, by hour. Spot the under-promoted zone and the always-busy bottleneck.
PulseWhitelist Groups
Staff, VIPs, suppliers, contractors, granular access, enrolled in seconds in the dashboard.
GuardFace Recognition
Whitelist and watchlist matching across your estate. Human-reviewed, GDPR-safe.
Counted, not catalogued.
Business Analytics is built on aggregate data. Individual demographic estimates are computed and discarded, only the aggregate persists.
Aggregate-only retention
Per-frame estimates are computed and discarded. Only aggregate counts (per hour, per zone, per demographic band) persist.
No identity in the analytics graph
The analytics aggregate is technically and architecturally separate from the security face graph.
Sensitive classifications are protected
Ethnicity classification codes are never surfaced in the daily brief or in any standard report.
Your security cameras as your ops brain.
You already have the cameras. You already have the footage. You're just not yet asking them the second question. QuantumEye does.