Wear and Wash Tracking
Wardrowbe tracks which items you’ve worn and when. This data feeds directly into outfit suggestions, helping the AI avoid over-recommending recently worn items and surface things you’ve been neglecting.
Logging a Wear
Wears are logged from outfits, not from single items:
- Wear checks: after you choose “Wear this” on a suggestion, the “Did you wear it?” card asks about it that evening. “Yes, I wore it” logs a wear for every item in the outfit, and “Something else” logs the clothes you wore instead. See Wear Checks.
- Log What I Wore: on the dashboard, pick the clothes you wore and the day, up to five days back. This is part of the trial and paid plans.
- Past outfits: on a past outfit’s page, “I wore it on” its day logs it for that day, and “Wear again today” logs it for today. These are part of the trial and paid plans.
- Lookbook outfits: “Wear Today” on an outfit in your lookbook logs it for today.
Wear History Dates
The item detail view shows a timeline of all wear dates in reverse chronological order. The total wear count is shown prominently at the top.
Last worn date is color-coded across the app:
- Green: Worn within the last 1-2 weeks
- Amber: Worn 2-6 weeks ago
- Red: Not worn in over 6 weeks (considered “forgotten”)
This color coding appears on wardrobe grid cards and in the item detail view.
Wash Tracking
Each item counts its wears since its last wash. When the count reaches the item’s wash interval, the item is marked “Needs washing”. Items in this state are excluded from outfit suggestions until they are washed.
The item details show “Wears since wash” against the interval, with a “Mark Washed” button under “Wash Status” that clears the count. To wash several items at once, filter your wardrobe by “Needs wash” and press “Mark all washed”; this is part of the trial and paid plans.
Every item type has a default wash interval. To change it for one item, edit the item and set “Wash Interval (wears)” to a number from 1 to 100, or leave it blank to use the default. Outerwear and bags can go many wears between washes, so a higher number keeps them in your suggestions.
How Wear Data Affects Suggestions
The suggestion engine uses wear history in several ways:
Repeat avoidance: Items worn recently are down-weighted. The AI won’t suggest a shirt you wore yesterday unless your wardrobe is very small.
Forgotten items: Items with red “last worn” status get a gentle priority boost. If you haven’t worn something in 6+ weeks, the AI will try to work it into suggestions when it fits the occasion and weather.
Seasonal patterns: The AI looks at what you wore during similar weather in the past and gives those items a higher weighting.
Wash exclusions: Items marked as needing a wash are fully excluded from suggestions until cleared.
Mobile: Wear and wash tracking works the same on mobile. The “Did you wear it?” card and “Log What I Wore” are on the home screen, the wear counter on an item’s screen marks it washed, and the wardrobe tab has the same “Mark all washed” button.