Founder Case Study: Retail IoT

Graph: Making Physical Retail Measurable

Transforming static retail displays into data-generating platforms for global product manufacturers.

Graph Retail Analytics

Role

Founder & CEO

Industry

IoT / Analytics

The Problem

Blind spots in physical retail ROI.

The Output

Enterprise Dashboard & Edge HW

The Problem

While eCommerce was built on a foundation of rich interaction data, physical retail remained a "black box." Brands invested billions in endcaps and retail fixtures but had no visibility into how customers actually engaged with their products before the point of sale. Endcaps were premium marketing real estate operating without a feedback loop.

"If we embedded intelligence directly into the shelf, physical retail could be just as measurable as a website."

The Solution: Interactive Shelving

Graph transformed static displays into interactive platforms. By embedding low-cost, connected tablets into retail fixtures, we created an interface where shoppers could explore features and compare models. Every touch was a data point.

  • Feature Engagement: Tracking which product specs mattered most to shoppers.
  • Engagement Duration: Measuring the "dwell time" that leads to conversion.
  • A/B Testing Physical Space: Comparing display performance across different geographic markets.

Scale & Partnerships

The core of Graph’s success was proving that interactive, measurable retail could operate at scale. We deployed across major retail environments with a roster of global hardware and service brands.

Samsung
Google
Best Buy
Target
Sprint
T-Mobile
Macy's
LG

Dashboard UX

The product wasn't just the hardware in the store—it was the Analytics Dashboard for the brand managers. I designed a web-based portal that translated complex sensor data into actionable insights: geographic breakdowns, feature-level interest, and point-of-purchase sales correlations.

Legacy & Impact

Graph anticipated the shift toward Retail Media Networks and in-store attribution. It proved that physical infrastructure is programmable and that UX determines whether a data signal exists: if a customer doesn't interact, the system stays silent.