An AI shopping tool that knows the store as well as the list.

Context
2023 • Concept • Self-directed
Role
Solo UX Designer
Methods
Competitive audit, user surveys, interviews, prototyping
Focus
Mobile UX, AI feature design
Single Work Image

Problem

A quick grocery run usually involves an invisible mental overhead. Remembering everything, choosing the right store, then navigating a list that doesn't consider the context of the store and the shopper.

Discover

Research revealed that users want tools that match real shopping

Surveys

Fourteen grocery app users ranked discoverability and list management far ahead of personalization. That decided what stayed and what got cut from v1.

87%
Prioritized search and filtering, making discoverability the dominant bet.
64%
Wanted better list management, confirming the list as the core surface.
64%
Valued descriptions and images, so content quality had to match feature quality.
37%
Wanted personalized recommendations. Lowest priority, first thing cut.
Interviews

Three themes emerged across conversations with regular grocery shoppers.

"I rearrange the list in my head as I walk through. Every time. It's just something I've accepted."

On store variability

"I'm already making a hundred small decisions in there. The last thing I want is to figure out an app on top of it."

ON MENTAL LOAD

I shop at two or three different stores depending on the week. I basically have a different mental map for each one.

ON PLANNING

Opportunities

01
Context-aware list

Reorder the list automatically based on the store layout, so the shopper follows one path instead of backtracking.

03
Low-friction input

Shoppers are tired and in a hurry. Adding items should take one tap, not a form. Voice, recents, and smart suggestions reduce the cost of keeping the list current.

02
Cross-store memory

If you shop at multiple stores, the app should know that Trader Joe's and Safeway have different layouts and different items, and adapt without you having to manage it.

Design

Prototypes

Three screens, each covering a distinct moment of friction: arriving at a new store, routing through it efficiently, and getting help mid-trip without losing your place.

Reflection

This project is from 2023, before AI and UX had much of a shared vocabulary. I designed the happy path and caught the gaps late. Today I'd start with the failure cases and lean on existing AI/UX frameworks rather than designing from first principles.