Case · Data & ML · Consumer app

Basket

The world’s first grocery comparison shopping app — real-time, in-store prices across the stores you actually shop.

Basket — grocery comparison shopping app
RoleUX · Information architecture · Responsive build · ML
TypeConsumer mobile app
DomainData & machine learning
The problem

Grocery prices are opaque — and impossible to compare.

The same basket costs wildly different amounts store to store and week to week, and shoppers have no way to compare without walking the aisles. Weekly circulars are scattered, dated, and impossible to act on.

01

Hidden prices

In-store prices aren’t published anywhere you can compare them before you shop.

02

Scattered circulars

Deals live across dozens of store flyers, each in its own format and out of date.

03

No personalization

Nothing tied the deals to the stores you actually use or the items you actually buy.

The solution

The first app to compare in-store prices in real time.

We designed and built Basket — the first app to compare in-store grocery prices in real time. Atwood led the user experience, information architecture, and responsive build, paired with machine learning that aggregates and normalizes prices across stores into one personalized circular.

Pick your stores · watchlistA personalized circularLive in-store price comparisonOnline stores tooPer-item savings
screenscreenscreen
Outcomes

A first-of-its-kind, human-centered way to shop.

A world first

The world’s first grocery comparison shopping app.

Shop with confidence

A simple, human-centered way to compare prices across stores and online before you go.

Real-time intelligence

Machine learning turned a sprawl of store and circular data into live, per-item price insight.

Get started

Want to be the next case?

Bring your highest-pain workflow. We’ll show you what a governed pilot would look like — fixed scope, fixed price, real work.