As computer vision replaces manual scanning, shoppers lose the tactile feedback of checkout. I led the UX for a smartwatch companion that restores that confidence — through haptics, glanceable status, and AI that knows when to stay silent.
AI is removing the beep, the receipt preview, the constant scan-check loop. That's a win for convenience — but a new problem for members: Did that register? Is my cart right? Will I get flagged at the exit?
Scan & Go today — phone in hand, cart in the other, kid demanding attention
"So what if reassurance didn't live in your hand…
but moved with you?"
The design question that shaped this project
I was the only designer on the team — partnered with four engineers who brought the same energy and curiosity I did. We teamed up to brainstorm, had a lot of fun doing it, and ended up building something we were genuinely proud of. I led the UX vision, designed the interactions, and shaped the story we told to leadership.
Wearables for AI-powered environments are easy to design badly — a watch that constantly buzzes is worse than no watch at all. These principles kept every design decision grounded in calm, trustworthy, ambient experience.
Designed for all members — a glance confirms the scan without stopping or reaching for a phone
SNG Watch Companion works alongside the Scan & Go app. The watch delivers quiet, glanceable confidence at the three moments members need it most — while scanning, while navigating the club, and at the exit. The phone app remains the source of truth; the watch is the layer that keeps members informed without demanding their attention.
The failure mode for AI wearables is notification fatigue — a watch that buzzes constantly creates more anxiety than it resolves. We designed AI's role as a filter, not a broadcaster. High-confidence events pass silently. The watch only speaks when a member genuinely needs to act.
The concept placed in the Top 50 and was selected for a leadership presentation. It was recognized for addressing a genuine UX gap in AI-powered retail — how to maintain member trust and confidence as autonomous systems replace visible feedback loops — without requiring members to understand or manage the AI themselves.
This project pushed me into territory that doesn't have established patterns yet — designing for AI systems where the member never directly interacts with the AI, only with its outputs. A few things stuck with me.