The challenge

Your data protection officer keeps saying no: and they are not wrong

Camera-based retail analytics is fighting tougher privacy interpretations every year. The hardware is cheap. The compliance bill is not.

Conversion is half-measured. POS data and entry counters tell you how many walked in and how many bought something. They tell you nothing about what happened in between, which zones fed the tills, which displays were ignored, which aisles felt crowded enough to drive shoppers to leave.

Leasing teams cannot quantify what they are selling. Anchor tenants and high-footfall zones earn their premiums, but the evidence is assertion, not measurement. Leasing negotiations would run differently if the numbers existed.

Queue churn is silent. A shopper who abandons the checkout queue does not fill in a survey. They return a week later, or they do not. Either way, you did not measure it.

Safety during promotions and sales. Peak density is a real risk during flash events. Without quantified crowd measurement, the response is reactive, an operator looking at CCTV and making a call.

How VAELLA solves it

Measure what matters, anonymously

Vision Sensors use LiDAR to measure shoppers' movement in three dimensions without capturing images. The result is structured, anonymous data that feeds your existing retail analytics stack, and does not trigger another DPIA.

Footfall

Entry counts, zone counts, and path counts, without cameras. The numbers flow into the same dashboards your ops team already uses. The privacy weight disappears.

Dwell analysis

Time-in-zone per anonymous track. See which merchandising plans hold attention and which end up feeling invisible. Leasing teams use the same data to prove the value of high-traffic zones to anchor tenants.

Queue management

Live queue length at checkout, customer service, fitting rooms, click-and-collect points. Dispatch staff before the churn starts, not after. Plan staffing on patterns that are real.

Zone heatmaps

Long-term movement patterns per store, per hour, per day of the week. The evidence base for store-layout decisions, category placement, and in-store marketing, collected continuously, not in a one-off study.

Safety and density

Crowd thresholds during promotions, sales, and seasonal peaks. When density approaches a threshold, security and operations are notified automatically, the kind of event that is obvious on the ground but invisible in the control room.

Vertical transport

Escalator and lift demand signal feeds into dispatch. Peak-hour waits shrink. Maintenance schedules follow wear patterns, not calendars.

0Images captured. No faces, no biometrics, no facial recognition surface. Privacy by physics, not by policy.

Privacy

The DPO conversation, dramatically shorter

Camera analytics processes personal data the moment the lens opens. Even "just counting" pipelines still handle images under GDPR. Every DPIA starts from that fact and works outwards.

LiDAR measures distance. There is no image. No face. No biometric signature. This is not a commitment to be careful with personal data, it is the physical reality that no personal data enters the pipeline in the first place.

For most retail environments, this means:

  • DPIAs become a one-page record rather than a multi-week project
  • Consent notices are not required the way they are for imagery
  • Retention rules apply to aggregated analytics, not personal data
  • Breach-notification risk drops because the breach surface does not include identities

Industry context is also shifting: consumer pushback against in-store camera analytics is growing, and several European regulators have started treating retail camera analytics with substantially more scrutiny. The LiDAR alternative is not theoretical, it is already deployed in dense environments where cameras cannot meet privacy bars.

Integration

Works with what you have

VAELLA is a data feed. It sits alongside POS, loyalty platforms, and existing counting infrastructure rather than replacing them.

  • POS and analytics stacks: consume structured footfall, dwell, and queue data
  • Existing thermal entrance counters: can stay in place; VAELLA provides the building-wide view they were never designed for
  • Merchandising and leasing platforms: receive zone-level signals for reporting and negotiation

If you already have cameras in the store for evidential and loss-prevention use, keep them. That is what they are for. Just stop asking them to also be analytics.

Ready to see it in your store

Request a demo

Tell us the question you want answered (conversion by zone, leasing value of the anchor position, queue staffing) and we will show you what the data looks like in your store, without cameras.

Use the form on the homepage, or start a conversation with the chatbot below. We respond within two business days.