IOS mobile app.
Main goal: AI automated outfit constructor
Second goal: Merge customer’s wardrobe with all available clothes on market
CONVENIENT solution to the problem of choosing clothes INDIVIDUAL style personalisation The main unit in the application is the outfit.
Individual elements of the clothes - tool. Decision Booster: Outfit rendering on user's digital avatar
Solving 3 types of problems:
assembling an outfit from existing clothes recommending missing items to buy, taking into account the existing wardrobe checking if the new item fits into your existing wardrobe
Clothes capturing and catalogisation:
Auto-detection of: type, style, mood, vibe
Local outfit discovery:
All possible great outfit combinations in one place Number of outfits is limited by the number of great combinations of added items. Prioritisation of the output - first - by likes, then by match-metric Filter by season and mood etc Decision Booster: Outfit rendering on user's digital avatar
Amazingly native way of selecting and evaluating Full-screen vertical outfit view Sections: top, bottom, shoes, hat, socks, outwear Auto-match with function of freezing one or few items (top/bottom etc) Decision Booster: Outfit rendering on user's digital avatar
Extended outfit discovery (suggestions of available clothes in e-shops):
Great mechanics of suggesting missing clothes and finding the most relevant new ones to existing wardrobe. Decision Booster: Outfit rendering on user's digital avatar
most popular fashion e-shops
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