NewsAI sizing now live across Lacoste’s global storefront
Customer stories

Empowering fashion brands to thrive.

Discover how the most loved fashion houses use Kleep to lift revenue, cut returns and give every shopper an experience worth coming back to.

The brand, the challenge, and the numbers Kleep actually moved

Measured in production300+ brands live3.5× higher conversion18% fewer returns
LacosteGivenchyRabanneVictoria BeckhamSoeurFrameRepresentThe KooplesRat & BoaEtamAigleEssentiel AntwerpMaison KitsunéBoggi Milanoba&shKenzoA.P.C.Nina RicciBonpointDries Van NotenAquazzuraIntersport
ETAM
+5%

Revenue, A/B-tested on live traffic

-16%

Size-related returns

Smart SizingETAM

ETAM lifts revenue 5% and cuts returns 16%, proven in a live A/B test

Challenge : Lingerie is where generic sizing tools go to be found out. Band and cup interact rather than add up: a 90B and a 95A share a cup volume but fit entirely different bodies, and the right answer often lives in a sister size no chart will ever surface. Cut, wire, stretch and coverage vary from one style to the next, so 'your usual size' is a guess even for loyal customers. At ETAM's volume, that guesswork is a line on the P&L, every hesitation at the size selector costs conversion, and every wrong guess comes back as a size-related return, with all the logistics and margin erosion that follow. ETAM had seen apparel-first tools treat a bra like a T-shirt and was not interested in repeating the experiment. What it wanted was a flow purpose-built for lingerie, and proof measured on its own traffic against its own baseline, not a vendor's slideware.

Solution : ETAM signed a proof of concept with Kleep in October 2025, on one condition: the lingerie experience would be built for lingerie, not adapted from ready-to-wear. Kleep engineered a dedicated flow around the mechanics of the category, band, cup, sister sizes, style-by-style differences in cut and stretch, with every product calibrated individually rather than mapped to a generic garment model. Shoppers reach a recommendation two ways: a short questionnaire, or Kleep's two-photo body scan, taken on a phone via QR code, which produces a full measurement profile in seconds. The interface is white-labelled to ETAM's own design language and returns a recommendation in under 250 milliseconds, so guidance appears at the moment of choice without slowing the page. The deployment went live in April 2026, wired from day one into a controlled A/B test on live traffic, because ETAM had asked for proof, not promises.

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