Makeup & SkincareJACKS beauty line — From in-store expertise to digital confidence
How JACKS brings personalized beauty advice online with Stella — lifting conversion 4x and AOV +50%.
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MAKEUPHow KESS Berlin simplifies mix-and-match beauty shopping with AI-powered guidance — pairing shades, products and complete looks like a digital makeup artist.

The challenge
KESS Berlin is built on intuitive, everyday beauty essentials — customizable sets, mix-and-match formats and products designed to fit together. That same flexibility becomes complexity in e-commerce: shoppers struggle to pick the right shade, pair complementary products and build a complete set from static images alone.
"Shade selection can be tricky online. Everyone's skin tone and preferences are unique, and photos alone can't capture everything — especially when building sets with multiple products."

Shoppers couldn't confidently identify the right concealer, CC cream or bronzer shade from photos alone.
Products are designed to work together — but matching blush, bronzer and base across a full look is non-trivial online.
Customizable sets create extra decision-making, multiplying the choices a shopper has to make before checkout.
Uncertainty around shades and combinations led to dropped baskets and suboptimal choices.
The Stella solution
KESS Berlin integrated Stella across the site — first on a dedicated consultation landing page, then directly on product detail pages. Stella guides shoppers through a short, intuitive flow and recommends shades and product combinations that naturally fit together.
"It feels like having a digital makeup artist — Stella makes mix-and-match effortless."

A 2-minute, 98.9%-accuracy consultation: hair, eye, skin tone, undertone and an optional selfie. Stella translates the answers into a coordinated set of KESS recommendations.

Not just a single SKU. Stella pairs concealer to CC cream, blush to bronzer and matches the rest of the look — across face, eyes, lips and sets.
From shopper to complete look
Launch highlight
When KESS launched its new concealer range with 13 shades, Stella became a key part of the launch strategy. Embedded on the product detail page during the pre-launch phase, shoppers could preview the product early and find their perfect shade before it was even available.
Within just eight weeks before and during the launch, more than 70,000 shoppers used Stella to discover their best match — creating early engagement, building excitement and ensuring customers were ready to buy the moment the collection went live.
"Stella helped customers find their perfect shade before, during, and after the launch. With 13 shades, that support was incredibly valuable."

Results
KESS Berlin doesn't share exact conversion or AOV numbers publicly — but the influence is clear: stronger purchase confidence, more completed checkouts and shoppers exploring shades and combinations they wouldn't normally consider.
That performance encouraged KESS to take the next step: rolling Stella out across international markets to deliver the same trusted guidance to shoppers worldwide.
"We see a very positive impact on conversion rates, AOV, and customer experience. Stella reduces hesitation and gives customers more confidence in their choices."


"Stella brings the simplicity and confidence of KESS Berlin into the digital world, making every interaction feel personal, effortless, and smart."

Why it worked
Purpose-built for beauty and shade matching — not a generic recommender bolted onto an ecom stack.
Stella pairs products that naturally go together, not just individual SKUs — concealer to CC cream, blush to bronzer.
Customers gain confidence before buying — and even explore shades and combinations they normally wouldn't consider.
Live on the consultation landing page and PDPs, with StellaAssist coming next to bring the same intelligence into customer service.
In summary
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In 20 minutes, we'll show how Stella can become your digital makeup artist — exactly like it did for KESS Berlin.