Independent build · Consumer product · In progress
Make the wardrobe useful in context.
A wardrobe that responds to weather, plans and changing personal context.
01 / problem
The problem to solve
A wardrobe can contain plenty of clothes and still be hard to use well. The practical problem is understanding what is available, what works together and what is appropriate for the context — whether that is today’s weather or an upcoming trip.
02 / decision
The decision
I am exploring whether a structured wardrobe can become a useful decision tool rather than a static catalogue, helping people make better use of what they already own.
03 / approach
How I approached it
The iOS build combines a digital wardrobe with local weather, usage history, outfit building and travel planning. Recommendations use situational context rather than treating every item as equally relevant, while Apple Health measurements support fit intelligence as body measurements change.
04 / outcome
What changed
ClosetLoop remains in progress. Capture, recommendation and trip-planning flows are working parts of the product, giving me a way to test how much contextual information is useful before recommendations become noisy or intrusive. It is not evidence of established customer adoption.
05 / What I take forward
What I take forward
Recommendations become more relevant when they reflect changing context: destination, activities, laundry access, weather and fit.
Inside ClosetLoop
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