Rethinking Store Risk Through the Lens of Computer Vision

Join Brand L. Elverston for an insight-rich discussion with Neil Sutton, Chief Revenue Officer at Everseen, about how computer vision is reshaping the way retailers understand shrink, risk, and day-to-day store operations.

Everseen has spent more than a decade working with major retailers around the world to study how people shop, how stores operate, and where loss actually occurs. Their work in Visual AI has generated one of the deepest, most practical data sets on front-end behavior, self checkout friction, and the real patterns behind both intentional and unintentional loss. Drawing from that experience, Neil offers a candid view into what computer vision reveals about the modern store environment and why visibility has become a strategic necessity.

Brand reflects on the early days of computer vision inside Walmart, when Everseen first helped uncover risk patterns that had never been measurable before. Together, they discuss how the world has shifted since then—from the rise of self checkout, to the pressures created by COVID, to the challenges of frictionless shopping models like Scan & Go.

This conversation focuses not on a single solution, but on what the broader field of computer vision makes possible when paired with experienced practitioners, sound analytics, and disciplined operational thinking.

In This Conversation, You’ll Hear About:

• What long-term computer vision deployments have taught the industry about shrink
• Why video-based insight changes decisions more effectively than static reporting
• How analytics can help teams engineer risk out of processes instead of reacting to it
• Why self checkout remains both a convenience driver and a complex risk center
• The challenges of Scan & Go and why frictionless models require new thinking
• How customer missions, store flow, and front-end design shape shrink outcomes
• Why retailers must balance innovation with simplicity for both shoppers and associates
• The importance of avoiding “tech for tech’s sake” and staying use-case driven
• How AI models depend on data quality, context, and continuous learning
• What retailers can learn from global store observations and cross-market patterns

This episode offers a grounded, real-world look at how computer vision and analytics are helping retailers move beyond assumptions, beyond outdated controls, and toward a more accurate understanding of risk inside the store.

About Neil Sutton

Neil Sutton is the Chief Revenue Officer at Everseen. His career spans leadership roles in global technology firms including Fujitsu, British Telecom, and NCR. At Everseen, he works with retailers worldwide to apply computer vision and data-driven insight to reduce risk, strengthen operations, and improve visibility into shopper behavior and store activity. His experience walking stores across continents gives him a unique perspective on what actually drives shrink and where opportunities for improvement truly lie.

About Brand L. Elverston

Following a distinguished military career and more than two decades leading asset protection and risk mitigation efforts at Walmart, Brand L. Elverston now leads Elverston Consulting. He advises retailers and solution providers on applying emerging technologies in ways that improve safety, efficiency, visibility, and long-term performance.

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