Back

Case study · Mobile app

Fashion E-commerce App

A mobile store for a streetwear label. Browsing should feel like flipping through a lookbook, and going from "I want this" to "order placed" should take a few taps, not a few forms.

Role
Product Designer
Year
2025
Platform
iOS, Android
Scope
UX flows, UI, Design system

Challenge

People buy clothes with their eyes, but most store apps make them read.

Clothing is bought on look and fit. Small thumbnails, a filter page that hides what you picked, and a checkout that asks for everything at once all push shoppers to leave with items still in the cart.

The label sells a small, curated drop of jackets, jerseys and accessories, so every product needs room to be seen. The brief came down to three jobs:

  • Make the collection feel premium on a phone screen, without slowing people down.
  • Help shoppers narrow down fast by category, size, color and fabric.
  • Remove friction after the decision: cart, address, payment, tracking and reviews.

Approach

Design the whole journey, including the moments that go wrong.

Instead of polishing a few hero screens, I mapped every step a shopper takes, from opening the app for the first time to writing a review after delivery. Then I designed each step together with its unhappy paths: no search results, an empty cart, deleting an item, a cancelled order.

  1. Welcome
  2. Sign up
  3. Home
  4. Categories
  5. Search
  6. Filter & sort
  7. Product
  8. Cart
  9. Address
  10. Payment
  11. Order placed
  12. Order tracking
  13. Review
  1. No results
  2. Empty cart
  3. Confirm delete
  4. Empty favorites
  5. Order cancelled
  6. Item unavailable

Top: the main path. Dashed: some of the edge states designed alongside it.

75+screens and states, from welcome to review
10end-to-end flows, each with its own empty and error states
1shared design system behind every screen

Process

Five decisions that shaped the app.

01

Let the product photos do the selling

Home opens on a full-width campaign image, with categories as round portraits and best sellers as large cards. Every product sits on the same soft gray background, so a jacket and a beanie feel like part of one collection, not a messy catalogue.

Home screen with campaign banner, round category images and best seller cards
Home: campaign first, then categories and best sellers.
Browse screen with search bar, category chips and a grid of clothing types
Browse: big visual tiles instead of a text list.
02

Filters you can see, and undo in one tap

On the product list, every active filter stays visible as a chip under the title, each with its own ×. The item count updates right away, so shoppers always know why they are seeing four jackets and not forty. Search suggests matches as you type, so people rarely land on an empty page.

All Jackets list with sort, filter count and removable filter chips
Active filters as chips: Price, Color, Size, Fabrics.
Search screen suggesting Jacket and Jammers after typing Ja
Suggestions after two letters.
03

Keep the cart clean, and never a dead end

Each cart item shows only what matters for the decision: photo, size, color, price and quantity. Less common actions (save to favorites, share, copy link, delete) live in one bottom sheet. An empty cart doesn't just say "nothing here", it suggests items and points back to the catalogue.

Cart with a bottom sheet offering add to favorites, share, copy link and delete
Item actions in one sheet.
Empty cart with suggested products and a Go to Catalogue button
Empty cart with suggestions.
04

A checkout that confirms every step

Checkout is split into short steps: recipient, shipping address, payment. The address is picked on a map, then confirmed with a sheet that leads straight back to checkout. After paying, a calm success screen tells people what happens next and where to track the order.

Map with a pinned address and an Address Saved sheet with Go To Checkout button
Address picked on a map, saved in one tap.
Order placed confirmation with View Order History button
Clear next step after paying.
05

Reviews with real photos build trust

For clothes, a photo from another buyer is worth more than a star rating. The reviews page leads with the average and how ratings are spread, then shows each review with the buyer's own photos. Writing one takes a rating, a sentence and up to a few pictures.

Reviews page with 4.5 average, rating bars and reviews with photos
Rating summary, then photo reviews.
Write review screen with star rating, text field and attached photos
Stars, a sentence, photos. Done.
06

One design system behind every screen

To keep 75+ screens consistent, I built the foundations first: a Roboto type scale from Display to Body, and color ramps for gray, success, error and warning, eleven steps each, checked against WCAG 2.1 contrast. Orange is kept for prices and ratings only, so the eye goes to what matters.

Color guide with gray, success, error, warning and base color ramps
Color foundations with contrast in mind.
Typography guide showing the Roboto scale for display, headline, title, label and body
Type scale used across the app.

Result

A complete, build-ready store: every screen, every state, one system.

The handoff covered the full journey, from welcome to review, with empty and error states for each flow and a design system developers could build from directly. No screen was left as "we'll figure it out in development".

What I'd measure after launch

  • Whether filter chips cut the time to find an item, compared to a separate filter page.
  • Add-to-cart rate from the home best seller cards.
  • Where people drop off in checkout, step by step.