I study the gaps between what systems report and what people actually do.
I work in digital product, ecommerce, and applied AI, mostly in the places where business systems, customer behavior, and operational reality stop lining up.
My work tends to start with a gap: orders that do not explain adoption, dealer websites nobody is measuring, customer behavior hidden inside platform data, or messy signals that need to become something useful.
I build tools, research, and product systems to make those gaps visible.
What I work on
B2B ecommerce and product systems
I work on Xchange, Mohawk's B2B ordering platform, where dealers, sales teams, customer service, and internal systems all meet. A lot of my work is about understanding what the platform says is happening, what users are actually doing, and where the experience needs to change.
Behavior intelligence
Reporting tends to explain what happened at the aggregate level. I focus on what changed, who changed, where friction appeared, and what behavior is hiding underneath the average. That work shows up in dashboards, data models, platform analysis, and decision tools.
Showroom Standard
Showroom Standard is my research and product vehicle for dealer digital performance. It measures the local layer of the customer journey, especially the point where manufacturer demand turns into a dealer website experience.
Applied AI and research infrastructure
I build small systems that turn scattered inputs into something useful. That includes AI-assisted research workflows, behavior analysis tools, prompt systems, and ways to make messy signals easier to inspect, challenge, and use.
Research and writing
I write about digital behavior, ecommerce systems, dealer networks, and the parts of the customer journey that are usually undermeasured.
The Last Mile Is Where Demand Changes Hands
A research note on dealer website performance in the flooring, tile, cabinet, and countertop trades.
More writing and research will live here as it becomes ready.