AI x Retail Tech: How Smart Stores Use AI to Boost Revenue

Exploring AI-Powered Vision in Retail Tech

Join Site Bionics CEO Adam Blair and EyePop.ai co-founder Andy Ballister as they walk through real-world use cases, live demos, and the future of vision intelligence for stores of every size.

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What You’ll Learn

You’ll explore how AI-powered vision is transforming retail operations—from live journey tracking and 3D digital twins to real-time staffing insights and advanced demographic detection.

1️⃣ Why Retail Store Management Is Difficult (Timestamp: 0:38)

Store managers are underpaid and overburdened
Most decisions are made by intuition, not data

2️⃣ Site Bionics Origin Story (Timestamp: 2:20)

How Adam and Don (ex-Amazon Go) joined forces
Why retail needed a smarter physical-space data platform

3️⃣ Real Friction Points That Hurt Stores (Timestamp: 4:00)

Checkout lines, missed staffing moments, and unseen customer drop-offs
Why reacting too late crushes experience and sales

4️⃣ How Computer Vision Drives Better Store Outcomes (Timestamp: 5:45)

From door counters to journey-based optimization
Smarter decisions around staffing, layout, and behavior mapping

5️⃣ Live Demo: Scanning + Building a 3D Store Model (Timestamp: 8:00)

Watch a real store get scanned in under 10 minutes
See how multiple visual models are created from one scan

6️⃣ Live Demo: Full Customer Journey Tracking (Timestamp: 10:19)

Track individuals across multiple cameras in real time
Overlay journey data on a 3D store map for full visibility

7️⃣ Live Demo: Occupancy & Staffing Dashboard (Timestamp: 13:01)

Real customer-to-staff ratios
See how under- and over-staffing becomes visible with data

8️⃣ Live Demo: Section-Based Traffic & Sales Insights (Timestamp: 17:04)

Discover low-traffic zones (like apparel)
Run and measure experiments to improve in-store flow

9️⃣ Where Retail AI Goes Next: Intent, Not Just Movement (Timestamp: 20:44)

Why sentiment and shopping purpose matter
The role of vision AI in customizing future in-store experiences

🔟 Developer Demo: Advanced Demographics with EyePop.ai (Timestamp: 27:09)

Track age, gender, and fashion style in real time
Understand who your customers are—without manual tagging

1️⃣1️⃣ Report Pop Demo: Store Clutter & Cleanliness Tracking (Timestamp: 34:11)

Measure clutter levels over time using visual snapshots
Reveal the hidden cost of messy stores on conversion and shrink

1️⃣2️⃣ Real-Time Reporting & Custom Alerts (Timestamp: 42:53)

When to alert managers in real time—and when not to
Options for integrating with APIs, Zapier, and alert systems

1️⃣3️⃣ Q&A: Tech Stack, Latency & System Design (Timestamp: 47:12)

Why real-time compute happens on the edge
How Site Bionics balances performance with affordability

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Resources & Links