Case Study · Retail · Computer Vision

Brick-and-mortar chain enhancing in-store experience

A privacy-compliant computer vision layer that identifies returning VIPs the moment they walk in — instantly pushing purchase history and personalized recommendations to associate tablets, turning every aisle into a high-touch, high-conversion moment.

Privacy Standard

100% Compliant

Edge-processed biometric embeddings. No raw images stored. GDPR, CCPA & SOC 2 aligned.

CONVERSION
0 %

Lift in assisted conversion

ATTACH RATE
0 ×

Cross-sell attach multiplier

COMPLIANCE
0 %

Privacy & regulatory compliant

The Flow

From doorway to decision — in seconds

01

Computer Vision Detects

Edge cameras capture anonymized facial embeddings at the entrance — no images stored, only encrypted vectors.

02

CRM Matches Instantly

The embedding is matched against the CRM in under 200ms, surfacing VIP tier, lifetime value, and past purchases.

03

Associate Gets the Brief

Tablets light up with a curated profile: preferences, last basket, and AI-generated recommendations tailored to the visit.

Stack

Built on enterprise-grade primitives

Computer Vision
CRM Integration
Edge AI Inference
Tablet Push (WebSocket)
Privacy-Preserving ML
Real-time Analytics

Outcomes

Measurable impact in 90 days

  • +18% assisted conversion

    Associates close more with context at hand.

  • 3× attach rate

    Personalized bundles drive higher basket size.

  • Zero PII at the edge

    GDPR & CCPA audit-ready from day one.

  • Sub-200ms recognition

    Associates greeted customers before they reached the floor.

Ready to turn foot traffic into recognized revenue?

Let's map a privacy-first computer vision pilot across your flagship locations.

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