Know your wardrobe
like never before.
aurelle tracks how you use your wardrobe and turns that data into insights — so you can make smarter decisions about what to keep, what to wear more, and what to buy next.
aurelle's wardrobe analytics track what you actually wear — wear frequency, cost-per-wear, and gap analysis — so you can see which pieces earn their place and where your wardrobe has real needs. Core analytics are on every plan; advanced insights on Premium and Pro.
Cost-per-wear
The real cost of a garment isn't its price tag — it's how much you paid divided by how many times you've worn it. A €200 jacket worn 80 times costs €2.50 per wear. A €30 sale top worn twice costs €15 per wear. The "bargain" was six times more expensive in practice.
aurelle calculates cost-per-wear automatically for every item in your wardrobe:
- Enter the purchase price when you add an item (optional but recommended).
- Log wears each time you wear the outfit — either manually or by confirming planned outfits.
- Watch the cost drop with every wear. The item's cost-per-wear updates in real time on its detail page.
Navy blazer
Worn 75 times
Sequin top
Worn 2 times
White t-shirt
Worn 120 times
Cost-per-wear reframes how you think about purchases. It shifts the question from "is this cheap enough to buy?" to "will I wear this enough to justify it?" That single shift transforms shopping habits.
Most worn vs forgotten
Your wardrobe divides naturally into three tiers:
- Heavy rotation. The 15–20 items you reach for constantly. These are your wardrobe heroes — the pieces that fit well, match everything, and make you feel good every time. aurelle identifies them so you know what's worth replacing when they wear out.
- Occasional use. Items worn periodically for specific occasions — a cocktail dress, a winter coat, sport-specific gear. These earn their place despite lower wear counts.
- Forgotten. Items unworn for 60, 90, or 180+ days with no upcoming plans. These are the pieces silently consuming wardrobe space. aurelle surfaces them so you can make a conscious decision: restyle them into new outfits, or let them go.
Forgotten item nudges. When an item hasn't been worn in 60+ days, the AI starts incorporating it into outfit suggestions — giving it another chance with fresh combinations you might not have considered. If you keep skipping it, aurelle flags it as a donation candidate with a gentle prompt.
Wardrobe gap analysis
This is where analytics becomes genuinely actionable. aurelle analyses your entire wardrobe and identifies the specific items that would unlock the most new outfit combinations if added.
It's not a generic "you need a white shirt" recommendation. It's calculated from your actual wardrobe:
- "A mid-weight navy blazer would create 14 new outfit combinations with items you already own."
- "A pair of tan ankle boots would extend 8 current outfits into autumn and winter."
- "A lightweight scarf in your dominant colour palette would add a third-piece option to 11 existing looks."
Gap analysis turns shopping from browsing into problem-solving. Instead of wandering a shop hoping something catches your eye, you know exactly what you're looking for — and why it matters. Every purchase fills a functional gap and increases the total outfit count from your wardrobe.
Seasonal rotation
aurelle tracks seasonal wear patterns and helps you manage the transition between seasons:
- What to store. Items that haven't been worn in the current season and won't be relevant for the next 3–4 months. These can go into storage to free up daily wardrobe space.
- What to surface. Items from last year's corresponding season that you might have forgotten about. "You wore this linen dress 8 times last summer — it's ready for another season."
- Transition pieces. Items that bridge seasons — a light jacket, a versatile layer, a mid-weight knit. The AI identifies which pieces in your wardrobe work hardest during seasonal transitions.
Seasonal rotation data accumulates over time. After a full year of tracking, aurelle gives you a complete picture of which items earn year-round space and which are truly seasonal.
Smart decisions: buy less, wear more
The cumulative effect of wardrobe analytics is a fundamental shift in how you relate to your clothes:
- Buy with data. Gap analysis tells you what will actually add value. Cost-per-wear history shows you which price points deliver the best long-term value for your lifestyle.
- Wear with intention. Forgotten item surfacing and AI restyling suggestions help you use more of what you own, reducing the "nothing to wear" feeling.
- Donate with confidence. When analytics show an item has been unworn for 6+ months, consistently skipped in suggestions, and has no seasonal relevance coming up — you can let it go knowing it's the right call, not an impulse purge.
- Track progress. Your wardrobe utilisation percentage — the share of your wardrobe worn in the past 90 days — is a single number that captures how well your wardrobe is working. Watch it climb as you restyle forgotten items and make smarter additions.
Analytics build over time. The longer you use aurelle, the richer the insights. After 30 days, you have wear frequency data. After 90 days, cost-per-wear becomes meaningful. After a full year, seasonal patterns, wardrobe utilisation trends, and gap analysis are fully informed. Start tracking now — future you will thank you.
Start your free trial
7 days free on Basic. Core analytics included on every plan. Advanced analytics on Premium and Pro.
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