1. Problem
Most shopping decisions are disconnected from wardrobe state, causing duplicate or low-utility purchases.
Shopping Intelligence
Purchase decisions guided by detected wardrobe gaps and structured system logic.
2. The AȘO System Solution
AȘO surfaces missing essentials in recommendation output and routes users into structured shopping flows.
Flow Example
Detected
- • Missing formal footwear
- • Upcoming formal event
System Action
- • Surface suitable options
- • Highlight fit compatibility
- • Route to structured checkout
Gap detection activates once wardrobe inputs are available.
3. What It Actually Does
- • Missing essentials identified within outfit suggestions.
- • Save recommendation-derived abstract items back into wardrobe context.
- • Shop catalog, cart, checkout, and order APIs integrated in app screens.
- • Gift checkout path with recipient measurements.
4. Why It Matters
Purchasing becomes a targeted correction step — not a guessing loop.
6. FAQ
Does AȘO show what I should buy next?
Yes. Gap detection is embedded in suggestion logic and exposed to UI flows.
Can recommendations be saved for later execution?
Yes. Recommendation-derived items can be persisted to wardrobe records.