What's Next for Vêtir: Five Things We're Building for the Future of Luxury Fashion Shopping

The future of fashion shopping is a stylist that knows your closet, the shop and your plans, and that you can reach from wherever you already are: an AI assistant, a video you were just watching, the Vêtir app itself. Much of that works on Vêtir today. This page is about the rest. It is our roadmap: five things we are building next, written in the future tense because none of them is live yet, each with what it will do and why we are building it that way. It starts with what already runs, since every direction extends it, and ends with a winter capsule to start now, while the season planner is still being built.
What Vêtir already does
Four companion pieces cover what is live. Vêtir in ChatGPT and Claude explains how an AI assistant can search the shop for anyone and, once you sign in, use your closet and the Vêtir AI stylist, with checkout always on vetirapp.com. Shopping outfits from videos covers video search in the app, which matches each piece a person wears in a clip to designer pieces you can buy. Digitizing your closet from a video shows how a clip of up to two minutes becomes separate, cut-out closet items, and how the Vêtir AI stylist builds a look follows a question all the way to complete outfits. All four share one platform: one closet, one catalogue of hundreds of thousands of designer pieces from the world's leading luxury retailers and houses, and one stylist, served alike to the app, the website and every connected assistant. Each direction below extends something that already runs.
Resale is running too. Secondhand has stopped being a side market: Boston Consulting Group and Vestiaire Collective's 2025 resale report has secondhand fashion and luxury growing about 10% a year, three times faster than firsthand, on its way to as much as $360 billion by 2030. Vêtir Preloved starts from the closet you have already built. Choose a piece, on vetirapp.com or in the Vêtir app, and its photo, designer, category and colour carry into the listing. You can ask for an authenticity check on your photos, which asks for any detail it cannot yet verify, such as the brand label or a serial or date code, and for a price suggestion drawn from recent resale prices; when it cannot suggest one, it says so and you set your own. You review the listing, then publish it to the Vêtir Preloved marketplace.
The future of fashion shopping, as we're building it
These are plans with no dates attached, and their order may change as we build them.
1. Vêtir in every AI assistant, added in one tap
Shoppers are already starting their searches in AI assistants: Adobe Analytics recorded traffic from generative AI tools to US retail sites up 693.4% over the 2025 holiday season, November and December, against the year before. Vêtir meets them through the Model Context Protocol, an open standard for connecting assistants to outside tools, whose own documentation sums up the appeal as "build once and integrate everywhere." Today that covers ChatGPT, Claude and the other apps listed on our setup page.
Meta's Muse is the newest app on that page, added as a custom connector. Next, we are working to make Vêtir something you add in one tap from each assistant's own app directory, with no link to copy, on the same terms as today: you will choose what it may do, with read-only access as an option, you will be able to disconnect it at any time, and checkout will stay on vetirapp.com.
2. Video search and closet videos inside your assistant
Once you sign in, an assistant can already add photos of your own clothes to your Vêtir closet: Vêtir cuts out each piece and fills in its details in about a minute while the conversation carries on, and the assistant checks back for the result. Next, we are bringing Vêtir's two video features to assistants. Hand your assistant a clip of a look you want to find, or a try-on haul you want in your closet, and you will get back matching designer pieces or new closet items. Video takes longer than a photo, so these will run as background jobs the assistant starts and returns to, on the same pipeline the app uses.
3. Shop a video from a shared link, without saving the clip
Video search in the app works on a clip you record, choose from your camera roll or, on iPhone, share from Photos, so a look you spotted in someone else's video has to be saved to your phone before you can search it. We are building search from a link: share or paste the video's address, and Vêtir's vision pipeline will read the clip from there, pick out the frames that show the outfit best, find each piece and follow it from frame to frame, so a jacket seen across many frames comes back as one result. Nothing will need to be downloaded to your phone first.
4. A stylist that plans the season, not just the week
The Vêtir AI stylist can already build a week of looks with the weather in mind, Outfit of the Day suggests today's look from your own closet, and the Vêtir calendar holds your events and the outfits planned for them. The next step is the whole season. Given your closet and your calendar, the stylist will plan looks for the weeks ahead (the January work trip, the February wedding, a week of skiing), dress each one from what you own first, and finish with a short list of the pieces that would cover the most occasions you cannot yet dress. That list is where we think the future of personal styling is going: fewer purchases, each chosen against what you already own.
5. Richer try-on
Once you create your avatar, the AI stylist can show a look on you, first as a picture and then as a short video. We are working on try-on that answers what a fitting room answers: where a hem falls over a particular boot, how a long coat moves when you walk, how the back of a look reads. Those are the questions that decide whether a coat is right, and a flat product photo cannot settle them.
What the roadmap is built on
Each direction builds on how Vêtir is already put together:
- One platform behind every door. App, website and assistants share one closet, catalogue and stylist, so the piece you add in the app is the piece your assistant sees.
- Stateless where the outside world connects. Each assistant request carries what it needs, so capacity grows by adding machines.
- Long work runs in the background. Closet uploads, photo imports and week plans are jobs you can walk away from, and a finished week plan is kept, so asking again returns it instead of starting over.
- Parallel by default. The frames chosen from a video, and the pieces found in them, are analysed at once rather than in a queue, and so are the pieces you confirm from a closet upload.
Start a winter capsule now
The season planner is still being built, but the thinking behind it already works on paper: a short list that covers the most days. Here that is one coat worth wearing daily, three knits, two pairs of trousers and a skirt, and boots in two heights. We kept this capsule to black, charcoal, grey, ivory, navy and burgundy, so every colour here goes with every other. Three formulas to start from:
- The commute: ivory cashmere trench, burgundy ribbed crewneck, charcoal curved trousers over black knee boots on a block heel (the lead image above).
- The office: navy double-breasted coat, grey crewneck, charcoal knit pencil skirt, sheer black tights and black knee-high boots on a low heel.
- Dinner: black belted wrap coat, ivory mohair crewneck, black straight trousers, burgundy ankle boots on a sculpted heel.
Proportion decides the rest. A short, boxy knit such as Brunello Cucinelli's mohair crewneck wants a high waist under it; a fitted rib like Jil Sander's crewneck tucks into anything; a belted wrap coat gives back the waist a heavy knit hides. More coats are in our coats and jackets shop.
Start with the coat: the layer every other piece sits under
Knits do the most days of work, so these are cashmere, wool and mohair. Max Mara's knit pencil skirt is the quiet workhorse: it takes a crewneck or a tucked rib and sits under every coat above.
Knits and tailoring that layer under every coat above
Match the boot to the hem. Ankle boots go under trousers, heeled for the office or dinner. With a skirt our stylists choose a knee-high, whose shaft should vanish under a midi hem, as Khaite's Marlene does; a sleek knee-high also slips under curved trousers for a warmer commute. Keep one flat, lug-soled pair for wet pavements. More pairs are in our boot shop.
Two heights of boot: ankle pairs for trousers, knee-highs for skirts
How we chose the capsule
Every piece sits inside a six-colour palette with nothing from the brown family, so the formulas above follow our stylists' pairing rules whichever coat, knit and boot you combine. Every coat is wool, cashmere or an alpaca blend, every boot works with both pairs of trousers, and the knee-highs work with the skirt. We picked full-price pieces from thirteen houses with at least three sizes in stock on the day we chose, and nothing pre-owned.
Tell us what to build next
If one of these five matters to you, or something you want is missing from the list, write to us at concierge@vetirapp.com and tell us what you would use it for. Until then, start your Vêtir closet and ask our AI stylist to build next week's looks from it.
Frequently asked questions
Can I use Vêtir in Meta's Muse?
Yes. Muse is the newest app on our setup page: ask Muse in a chat to create a custom connector for the Vêtir link, with a personal API key for your closet and the stylist. Vêtir also works in ChatGPT, Claude, Claude Code, Cursor, VS Code, Codex, Gemini CLI and any other app that supports the Model Context Protocol; steps for each are at vetirapp.com/mcp.
Can I use Vêtir's video search in ChatGPT or Claude?
Not yet. Video search works in the Vêtir app, and closet video uploads in the app and on vetirapp.com; we are building both for assistants. Once you sign in, an assistant can already add photos of your clothes to your closet.
Can I shop an outfit from a video link?
Not yet. Today you record a clip, choose one from your camera roll or, on iPhone, share one from Photos to the Vêtir app, and video search matches each piece. Searching from a shared link is one of the features we are building.
Can the Vêtir AI stylist plan my outfits in advance?
For the week, yes: ask it to build a week of looks and it plans the days ahead with the weather in mind. Planning a whole season from your closet and calendar is one of the things we are building.
Can I sell clothes from my Vêtir closet?
Yes, on vetirapp.com and in the Vêtir app. Vêtir Preloved turns a piece from your digitized closet into a listing on its marketplace, and before you publish you can ask for an authenticity check on the photos and a suggested price.
Can I try clothes on virtually with Vêtir?
Yes. Create your avatar and the AI stylist can show a look on you as a picture, then as a short video. Richer try-on, showing how a hem falls and a coat moves, is one of the things we are building.
Keep reading
- The rise of the digital closet and white-glove styling
- Luxury investment pieces: what holds its value
- The best winter coats for women, from city wool to polar down
Written by Ashish Gupta, CTO of Vêtir.















