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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
Have a project for me? Get in touch →

 
               
               
               
               
               
               
               
               
               
               
               
               
               
               
               
            
              
            
            
          
               
            
              
            
            
          
              