The fashion recommendation engine that learns from your cravings
Fashiny provides a “crave” browser button to users which they use to collect the products they like from any shopping site on the internet. It also provides a selection of products on their own website for add to their collections.
We create an individual’s Fashion Identity from their cravings, collections, past purchases, browsing history and social networks. This data is then used to deliver a personalised experience through a powerful fashion recommendation engine that combines machine learning algorithms with human input provided by fashion experts and users.
Fashiny.com about us page in works
User profile page with their craved collections
The first version of Fashiny iPad app in the App store
What I did for Fashiny
Strategy & Execution
Business plan and strategy
Product roadmap
Product lifecycle management
Content and go-to-market strategy
Design & Research
Branding & logo design
User interviews, usability testing & research
Wireframing, User journeys and Prototypes
Behind the Scenes
Blogger outreach
Brand integrations and sales
Product demos
Pitching to competitions like Bright ideas
Year: 2011
Engagement period: 12 months
Industry: eCommerce
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