Harpal Singh

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 demo (beta)

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: 3 months
Industry: eCommerce

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