Capture
Camera, gallery, and product URL imports create structured wardrobe inventory with category, color, fabric, and season metadata.
Wardrobe intelligence
Closet data becomes daily intent.
L'Armoire turns wardrobe capture, outfit planning, virtual try-on, and wear history into a premium personal commerce loop.
1-10Garments per try-on
AIMetadata + looks
DailyCalendar feedback
Wardrobe
OS
OS
Business surface
Premium app. Sticky behavior. Clear monetization.
Compose
Users build looks manually or receive weather, occasion, and calendar-aware recommendations from their closet.
Convert
Shopping try-on credits connect real garments, purchase consideration, and saved style history.
Product proof
Every module compounds taste memory.
Closet items improve recommendations. Saved looks improve wear history. Try-on history improves purchase confidence. Profile preferences anchor the loop.
ClosetInventory graph
LooksOutfit library
Try-onCredit product
ProfilePreference layer
Real product surfaces
Sell with the actual app, not vague fashion stock.
Daily loop
Own the moment before the user opens the closet.
MorningWeather-aware recommendation
Start with a practical look from owned items and saved preferences.
AfternoonCloset or product import
Turn garment photos and shopping URLs into structured style data.
EveningTry-on and calendar memory
Preview purchases, save results, and record what worked.