AI Merchandising curates at the scale of your catalogue: rankings, collections and product ordering steered by real shopper behaviour and your commercial priorities, not by manual guesswork.
Someone arranges your category pages by hand, then moves on. Sold-out styles sit up top, the hero of the season is buried on page three, and every visitor sees the same fixed grid, whatever they came for. Merchandising at the speed of a spreadsheet.
Category pages reorder themselves against the goal you set, sell-through, margin or newness, in real time and per shopper, so the right products lead for the right person at the right moment.
The right products lead, so more of them get clicked.
Move the stock you need to move, exactly when it matters.
The weekly grid-dragging marathon, handed to the model.
Set the goal and Kleep arranges every category page to hit it, reorders it for each shopper who lands, and stays completely under your control, all without a single drag of the mouse.
Sell-through this week, margin the next, newness for the launch: pick the outcome and every grid rearranges to chase it. Sold-out styles sink, the pieces that move drift to the top, in real time.
BestsellerNewNewNewNewNewThe same category page leads with proven bestsellers for a first-time visitor, full-price new-in for a VIP, and the sharpest markdowns for a sale-seeker. One catalog, a version for everyone who lands.
The model does the heavy lifting, you set the guardrails. Compose rules in plain language, IF this shopper THEN boost that, pin a hero, protect a margin floor, and watch them apply across every page instantly.
Kleep watches how every product performs by position and by audience, then acts on it: the buried winners worth promoting, the goal you set this week, and a storefront shaped for each shopper who lands.
Bestsellers hiding on page three.
Kleep finds the pieces that convert the moment they are seen, and the dead weight up top, then quietly swaps them.
Pick the outcome, the page chases it.
Choose the number that matters this week, sell-through, margin, newness, and every page reorders in real time to move it.
One catalog, a thousand storefronts.
The same category page leads with different products for a first-timer, a VIP and a sale-seeker, automatically, on every visit.
Native 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.
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A certified cartridge that drops into your existing SFCC storefront architecture.
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An extension built for Adobe Commerce, aligned with your deployment workflow.
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A lightweight WordPress plugin that hooks straight into your product pages.
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A native PrestaShop module, installed and configured in minutes.
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A Swift SDK with native components: the full Kleep experience in your iOS app.
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A Kotlin SDK for Android: same model, same accuracy, fully native UI.
Read the docs →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 storyTwo 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.
See the product in action and the results it delivers for brands like yours.
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