Meet your
perfect fit.

Emma · Busy professional Meet Emma. She has twenty minutes at lunch, three sizes of the same jeans, and not one of them is right.

Marcus · Between sizes Marcus is between sizes. A medium in one brand, a large in the next. As one retail CEO put it, every brand fits differently. So he orders two, and sends one back.

Lena · Unsure what suits her Lena isn't sure what suits her. The fit is fine, but the colour isn't her, and some fabrics just don't feel right.

It's become routine. Nearly half of Canadian online shoppers sent something back in a single year. And almost four in ten return clothing because of the way it fits.

Daniel · Store manager On the other side of the counter, Daniel manages a busy store. Every return lands on his desk, to be checked, refolded and restocked, and some can never be resold.

In the US, almost one in five online sales comes back. Processing a return can cost around thirty percent of the item's price. Across retail, that's nearly eight hundred and fifty billion dollars, in one year.

Shoppers are guessing. Retailers are paying for it. So we asked a simple question. What if the fitting room already knew you?

Meet Trialroom Meet Trialroom. Smart fitting booths inside retailers' own stores, run by us. Every shopper gets designer-level wardrobe advice, free. Retailers pay.

Step 1 · Tap to start Here's how it works. Emma walks into a partner store on her lunch break, and taps the Trialroom screen to start.

Step 2 · Link your phone She scans a code with her phone to link the Trialroom app. No forms to fill in.

Step 3 · Consent first She opts in on the booth. She sees what's stored, it's never sold, and she can delete it any time.

Step 4 · Step in Inside, she steps onto the marked spot. A calm voice and simple prompts guide her pose.

Step 5 · The scan The scan takes about thirty seconds. Soft light captures her height, measurements, shape and proportions, and reads her skin tone and undertone.

Step 6 · Your profile, on the mirror On the booth's mirror, she swipes through her measurements, her palette and favourite fabrics.

Style profile It's the kind of profile a fashion designer would build. Her body shape and proportions. Her colours. The fabrics that flatter her and feel right. And her life: work, weekends, seasons and budget.

Wardrobe plan Then it plans her wardrobe. A work capsule across every brand in the store, starting from what she already owns. Outfits for the week, and tailoring tips, like taking a hem up two centimetres.

Step 7 · On her phone It syncs to her phone. She filters by occasion, saves favourites, and sends three picks to her room.

Step 8 · Brought to her Minutes later, Daniel's team brings them to her room.

Step 9 · Try on Chosen to fit, in colours that suit her. A work capsule, sorted on a lunch break.

Step 10 · Check out She pays in the app, or at the till, and what she buys joins her digital wardrobe.

Marcus · A suit for a wedding For Marcus, it's a wedding in June. Trialroom matches suits across brands to his shoulders and waist, not a label size, and flags the small alterations that make it his.

Marcus · The big day One suit, one try-on, and no second size in the post.

Lena · Her colours Lena discovers her palette: soft, muted tones that light her up, and fabrics that suit her comfort preferences, like fine merino.

Lena · Seasonal refresh Later, at home, the app suggests a seasonal refresh. Three pieces that work with what she owns, from partner stores.

For the retailer And for Daniel, fewer returns on his desk, tracked against a control. These numbers are illustrative. Proving them is what our pilot is for.

Why it matters And the market is huge. Global apparel is worth an estimated one point nine trillion dollars this year.

The win-win · Retailers For retailers, the fee pays for itself. McKinsey finds personalisation typically lifts revenue ten to fifteen percent. Every avoided return saves its processing cost, and scanning vendors report higher conversion and fewer returns. Plus loyalty, first-party fit data, store visits, and fewer markdowns.

Illustrative example An illustrative example, on our own assumptions. A store selling ten million dollars of apparel a year, with a twenty percent return rate, spends about six hundred thousand processing returns. Cut returns by a fifth, and it saves about a hundred and twenty thousand a year.

The win-win · Shoppers For shoppers, it's free. A styling hour at Nordstrom costs fifty dollars. A wardrobe consultant, about five hundred. Trialroom gives that advice for nothing.

The win-win · Planet And the planet wins too. One industry estimate puts the carbon from US returns at sixteen million tonnes a year.

Retailers win. Shoppers win. Everyone wins.

The model The model: shoppers use Trialroom free, retailers pay. We're raising a small pre-seed round to build a prototype booth and run one pilot in Toronto. Trialroom. Look good. Feel seen.