UI/UX Case Study · Retail · AI Vision
Replacing the "Manual Marathon" with AI Vision technology. Scan an entire basket in seconds without unloading.
Self-checkout is supposed to be fast. In reality it's 10+ steps, constant errors, and a staff member hovering nearby. I wanted to fix that.
A checkout that works around the customer, not the other way around. Place your basket, confirm the items, pay and go.
A kiosk with overhead AI cameras that scan the whole basket at once. Fits into existing Sainsbury's stores without major infrastructure changes.
The bagging area weight sensor misfires constantly. Every few minutes someone needs a staff member to come over and tap a button. It's the single biggest source of frustration at self-checkout.
When errors stack up, customers abandon their basket and move to a staffed till, or leave the store. It's a failure the current system was never designed to measure.
Self-checkout was meant to free up staff for more meaningful work. Instead, most of their shift is spent clearing error alerts, which defeats the point entirely.
Put your basket on the platform as-is. No unloading needed.
The AI scans everything in seconds. You just confirm what it found.
If you have alcohol in your basket, the camera checks your age automatically. No ID needed, no staff involved.
One tap to pay. That's it.
All items scanned. Age check for the wine is done automatically, no staff needed.
