No need to worry about what to wear today, smart recommendations everyday based on weather forecast
like and comment on each other's post, feedback for growing space
Collect new pieces and styles by dragging the dropping while surfing on the internet. Pin the style by categories: weekend, work, vacation, party, sport.
A flipping card view for details such as how often the clothing is worn, the rank of the worn frequency, how much money is spend on the clothing, the buy in time. Once dragged in, similar piece in closet, in friend circle and cheaper choices on other B2C website are recommended to the user. She can tell whether it worth to buy.
In the example, the user is interested in the military jacket, she found that she has a similar piece in closet already and is not often used at all. She passed it and saved budget. Or she found a similar jacket that her friend own, she can not only buy it at a lower price but also contribute to the green recycling activity.
Make buy in decision on the real time data such as price comparison within different stores,on going discount, seasonal trends, and similar pieces in your closet and friend circle.