Retail & F&B

Traffic data
that defends your rent.

Olorin Retail captures footfall, dwell, demographic distribution, queue length, and conversion proxies at every storefront. Defensible data backs rent premiums at renewal, identifies under-utilized space, and proves the value of the asset to tenants and lenders. All on-premise.

01 · Four Outcomes

What retail operators get with Olorin.

Outcome 01

Defensible rent at renewal

Year-over-year traffic data per storefront, with dwell and conversion proxies. Backs premium-rent positioning with evidence the tenant cannot dispute.

10–20% rent premium support on prime units

Outcome 02

Tenant mix optimization

Which storefronts under-perform on traffic relative to footprint. Which categories pull traffic to neighbouring units. Data-driven re-leasing.

20–30% facility utilization increase

Outcome 03

Operations & queue

Real-time queue length triggers staff redistribution. Peak-hour heatmaps for cleaning and HVAC. Validated F&B operating hours.

5–10% F&B rent renewal uplift

Outcome 04

Loss prevention

AI-flagged unusual dwell patterns, after-hours intrusion, restricted-zone access. Auditable trail per incident for insurance disputes.

30–50% reduction in shrinkage-related losses

Ranges based on academic literature and comparable regional deployments. Actual results depend on deployment scope and baseline.

02 · Use cases

15 use cases, deployable on the same Olorin platform.

Footfall & traffic

4 use cases
  • Per-storefront footfall counter
  • Cross-mall walking-path heatmap
  • Dwell time per zone
  • Footfall-to-revenue correlation

Demographics & intent

4 use cases
  • Gender & age distribution (anonymous)
  • Repeat-visitor proxy (anonymised)
  • Family-group vs single-shopper segmentation
  • Local vs visitor segmentation

Operations

4 use cases
  • Real-time queue-length alerts
  • Peak-hour HVAC & lighting optimisation
  • Cleaning crew dispatch on actual traffic
  • F&B operating-hours validation

Risk & compliance

3 use cases
  • After-hours intrusion in retail zones
  • Restricted-area access logging
  • Slip/fall incident documentation
03 · Why Drashta

Privacy-first retail intelligence.

No personal identification

Footfall and demographic data is aggregated and anonymised at the edge. No facial templates retained. Visitors cannot be re-identified across visits.

GDPR-aligned

Configurable retention periods per jurisdiction. Audit log of every camera viewing. Tenant data access controls. Built to GDPR and each market's local privacy laws.

Edge-deployed

All analytics run on-premise. No traffic data leaves your network perimeter. Tenant-leasing dashboards exported to PDF for renewal negotiations.

See it on your site.

Half-day walkthrough. We map camera placement, anchor stores, queue zones, and the tenant-renewal calendar. No cost.