Agentic AI suite that understands what every shopper is looking for, what to recommend, and what size fits.
Pilot in weeks · A/B tested from day one · No re-platforming
Kleep activates AI inside your store, guiding each customer to pieces they'll love, and keep. Conversion goes up. Returns go down.
Shoppers reach the products they love, and check out.
The right size the first time means fewer parcels back.
No more ordering three sizes just to keep one.
Fewer returns and lighter logistics, by design.
Modular, enterprise-grade AI products, from search and sizing to recommendations and merchandising. Adopt them one by one, or let them work as one brain across your store.
Curious about what we can offer?
Two quick answers and a body model predict the size that fits, before a shopper ever second-guesses. Fewer returns, far less bracketing, and confident add-to-carts in one click.
Shoppers see the piece on their own body in seconds, the whole look, not one item in isolation. The kind of confidence that turns browsing into buying.
Shoppers describe the moment in their own words and get the right products, not keyword soup. Search that reads occasion, mood, fit and budget like your best sales associate.
A screenshot, a street-style photo, a saved post, found in your catalog in a single tap. The piece they could never put into words, matched on sight.
Every rail re-ranks itself live from taste, size and intent, visit after visit, so the next product is the one they were already about to search for.
Category pages reorder themselves against the goal you set, sell-through, margin or newness, in real time and for each shopper who lands.
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Kleep sits at the moment of decision, so you finally see why shoppers buy, why products come back, and who your customers really are.
Fit, not taste, drives 62% of what comes back.
See who returns and why: fit failures separated from taste, serial bracketers from loyal customers.
Returns spike on small sizes. A size note fixes it.
Ill-fitting SKUs, lying size charts, descriptions that leave shoppers guessing, flagged automatically, with the fix suggested.
First-party profiles, synced to your ad audiences.
Age, height, weight, shape: first-party data that turns anonymous traffic into segments you can actually retarget.
From the first search to the final fit, every Kleep product learns from the same brain, and gets sharper with every shopper.
Two answers and a body model predict the size that fits, before the shopper ever hesitates.
Shoppers see the piece on themselves in seconds. Confidence that turns browsing into buying.
Shoppers describe the moment, the mood, the occasion. They get products, not keyword soup.
A screenshot, a street photo, a saved post: found in your catalog in one snap.
Live re-ranking from every signal a shopper gives: taste, size, intent, visit after visit.
Your category pages reorder themselves against the goal you set: novelty, sell-through, margin.
Tested against the incumbents, chosen after the numbers came in. Here is how fashion’s favorite brands run sizing on Kleep.
Lacoste ran an extensive accuracy RFP against every sizing player on the market, including its incumbent Fit Analytics. Kleep came out on top by a clear margin, making it the straightforward choice to switch.
Read full storyba&sh A/B-tested Kleep head-to-head against True Fit. Kleep converted more and returned less, with a gap wide enough to settle the decision before the test had even finished.
Read full storyKleep adapted entirely to the Victoria Beckham world, typography, tone and every detail white-labelled to the brand's own studio, giving customers a sizing experience that feels unmistakably Victoria Beckham.
Read full storyKleep cut Soeur's size-related returns, with more of the pieces customers ordered actually staying in their wardrobes, and the storefront live within a single season.
Read full storyNative apps and cartridges for every major commerce platform, SDKs for your mobile apps. Live in days, not roadmaps.
One-click app from the Shopify App Store, theme blocks included, live the same day.
A certified cartridge that drops into your existing SFCC storefront architecture.
An extension built for Adobe Commerce, aligned with your deployment workflow.
A lightweight WordPress plugin that hooks straight into your product pages.
A native PrestaShop module, installed and configured in minutes.
A Swift SDK with native components: the full Kleep experience in your iOS app.
A Kotlin SDK for Android: same model, same accuracy, fully native UI.
From the first funding announcement to the front lines of AI in retail. The story so far, as the press tells it.
Aug 202510 cas d’application concrets de l’IA chez les distributeurs
Showroomprivé’s returns drop with Kleep, among retail’s ten best AI use cases.
Jun 2025L’IA révolutionne le marketing et la gestion des relations clients
−11% return rate at Showroomprivé and +2–6% sales, from a smartphone photo.
Feb 2025La cabine d’essayage virtuelle prête à révolutionner le shopping ?
Kleep’s sizing tool claims up to 50% fewer returns.
Jan 2025Essayage en ligne : The Kooples s’essaie au scan corporel avec Kleep
First brand live on Kleep’s two-photo body scan. Fifty retailers and counting.
Oct 2024Jules aide ses clients en ligne à choisir leurs habits grâce à l’IA
18 months of R&D with Mines de Paris behind Jules’ jeans-fit feature.
Feb 20242023, année de l’IA générative
Kleep cited alongside Mistral AI and Hugging Face among the year’s notable raises.
Dec 2023Kleep, la jeune pousse qui trouve la bonne taille de vêtement
The seed round behind Kleep’s $3M raised, backed by fashion retail’s sharpest angels.
Dec 2023French AI-based size recommendation tool Kleep raises seed funding
The international take on the seed announcement.
Dec 2023Kleep lève des fonds pour ses solutions d’IA dédiées au prêt-à-porter
Twenty French clients and a digital personal shopper on the roadmap.
Dec 2023Kleep lève des fonds pour sa recommandation de taille
Two photos, the right size: the original pitch.
Guides, data and playbooks on AI for fashion e-commerce, how smart sizing, virtual try-on and conversational search cut returns and lift conversion. Written by the Kleep team.
Shopping agents will browse, filter and buy on your customers' behalf. What agentic commerce means for fashion brands, and how to make your catalog legible to machines before 2027.
Beyond the demos: what production try-on deployments actually change on conversion, returns and engagement, and the implementation choices that separate the wins from the write-offs.
Half sizes, widths, and lasts that change from one model to the next within the same brand: why shoes resist every generic sizing tool, and what it takes to fit feet online.
Peak traffic punishes hand-sorted category pages. A practical playbook for putting goal-driven AI merchandising to work before, during and after Black Friday 2026.
What shoppers type reveals what they want and how stores fail them. Patterns from millions of fashion search queries, and the lessons they hold on intent, occasion and vocabulary.
Shoppers rarely abandon over price alone. The fit doubt that stalls fashion checkouts, why analytics never surfaces it, and the interventions that measurably recover those baskets.
On-model imagery, video and campaign content without the studio calendar: how AI content production works in 2026, where it holds up, and how brands structure the new stack.
For brands, this shifts transparency from 'brand-level storytelling' to 'product-level evidence': concrete information about where and how a specific garment was made, what it is made of, how it should be cared for, and how it can be reused or recycled.
The questions every e-commerce team asks before a pilot, answered straight. Anything else, our team replies within a day.
Two ways, and the shopper chooses. Either a 30-second questionnaire (height, weight, age, body shape) or a body scan from two smartphone photos. Our model turns that into precise measurements, then matches them against the actual measurements of each garment, not a generic size chart. The result: a recommendation per product, not per brand.
Across our deployments, brands typically see size-related returns drop 20–50% and a meaningful double-digit conversion lift, usually 15–25%, on sessions that use a recommendation. Standout deployments have reached up to 3.5× conversion among guided shoppers; exact figures depend on your catalogue, category and traffic mix. You'll see the first signal within weeks: we A/B test against your control group from day one, so every number comes from your store, not our slide deck.
Days, not quarters. We ship native apps for Shopify, Salesforce Commerce Cloud, Magento, WooCommerce and PrestaShop, plus iOS and Android SDKs. Most brands go live within two weeks. The longest step is usually your internal QA, not us. No re-platforming, no PDP rebuild.
Photos are processed to extract measurements, then deleted. We keep numbers, not images. Everything is GDPR-compliant, hosted in the EU, and your customer data is never used to train models for other brands or sold to anyone. Your data stays yours, full stop.
Like your brand. The interface is fully white-labelled: typography, colors, tone of voice, every detail adapts to your design system. Victoria Beckham's sizing flow looks designed by Victoria Beckham's studio. Yours will too.
Run the test. That's how most of our clients arrived. Lacoste chose Kleep after an extensive accuracy RFP against the incumbents; ba&sh A/B-tested us head-to-head against True Fit and the gap made the decision. We're happy to be benchmarked: garment-level accuracy is the whole product.
Yes. The model is calibrated per garment category and per SKU, covering womenswear, menswear, kidswear, denim, shoes and lingerie, across EU, UK, US and Asian sizing systems. If your catalog has unusual fits, that's precisely where per-garment calibration beats brand-level averages.
A subscription that scales with your traffic, not a tax on your conversions. No commission on sales. One pilot, transparent tiers, and the A/B test means you'll know exactly what you're paying for before you commit. Book a demo and we'll size it to your store.
See the product in action and the results it delivers for brands like yours.
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