The 'fast-fashion' brand was looking to update its hybrid app with something that improved loyalty and spend.
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We created an inline mCommerce experience,
that was fast to browse, fluid to explore and
fun to use.


The 'fast-fashion' brand was looking to update its hybrid app with something that improved loyalty and spend.

We created a seamless shopping experience, that was fast, fluid and fun.

Apr-08-2020 21-20-44
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IN BRIEF

Creating an easy and fun way to dive into hundreds of new fashion ideas.


Looking to 'sticky' social apps for interaction inspiration, we created a fluid experience, gliding effortlessly between inspiration and shoppable products.

Shoppable editorial-style
content

Trend and feature collections could be mixed with editorial and product content to allow for fresh ways to introduce old stock.

Gateways into collections are situated in contextual locations, where, and if, relevant to the user.

Shoppable editorial-style content

Trend and feature collections could be mixed with editorial and product content to allow for fresh ways to introduce old stock.

Gateways into collections are situated in contextual locations, where, and if, relevant to the user.

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AN EXPERIENCE INLINE WITH INSTORE

We took inspiration for other apps that compete for dwell time on a users device and looked into the patterns there.

We conceived and built an iOS prototype that allowed for fast and fluid browsing.

Making the VEON camera as intuitive as possible was the main goal when designing the experience. Simple things like defaulting to the front-facing
camera, if opened from 'change profile profile'.

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QUICK CONTENT COLLECTIONS

Get yourself some new looks


To allow for quick curation of products to map users preferences and interactions, we created rich 'Touts' for curated listing pages.

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SIMPLE + SCANNABLE 

Keeping visual interference to a minimum for better browsing. 

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OTHER COLLECTION TYPES

To help the app learn about your preferences, seasonally relevant style questions are asked (Stripes-vs-Spots). Answers help the algorithm make suggestions.

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CONTENT CARDS

I created a simple system for outputting content cards, using product and story content.

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