Zalando
increased by 40% — basket sizes
Independently reportedRetail & e-commerce · Personalization · Classical ML · In production
Artificial intelligence, professionally covered
Personalization
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by revieve.com (vendor self-report). Checked against the source page on 2026-09-06. 6 of 6 figures below appear on that page word for word.
The existing haircare quiz was not aligned with the brand's philosophy and wasn't converting shoppers as expected. They needed to replicate the in-person haircare consultation experience digitally and gather quality zero and first-party data.
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
“Living Proof has seen a 67% conversion rate uplift amongst users engaging with the advisor compared to the previous period.”
Quoted word for word from the source
“the experience is helping them convert users in paid search four times better.”
Quoted word for word from the source
“Living Proof has seen a 20% uplift in the Average Order Value compared to the previous period.”
Quoted word for word from the source · round percentage, no baseline given
“the revenue per user is 2.4 times higher for users that went through the experience.”
Quoted word for word from the source
“Through this strategy, the brand has gathered over 25 thousand emails during this period.”
Quoted word for word from the source
“users that engage with the AI Haircare Advisor have sessions that are 6.4 times longer.”
Quoted word for word from the source
“We’ve noticed a customer experience gap that left many consumers unsatisfied with brands' products and services simply due to a lack of experience and individual hair knowledge. This is why we've decided to do a deep-dive into technology to enable customers to be in the spotlight and treat their hair like a professional stylist.”
increased by 40% — basket sizes
Independently reportedRetail & e-commerce · Personalization · Classical ML · In production
over 65 billion — Machine learning predictions generated
Independently reportedTechnology & software · Personalization · LLM · Scaled
more than 10% — e-commerce sales originating from product recommendations
Independently reportedRetail & e-commerce · Personalization · Classical ML · Scaled · 2023
Vendor-reportedRetail & e-commerce · Personalization · Computer vision · Scaled
Vendor-reportedRetail & e-commerce · Personalization · Computer vision · In production
104% — achievement on new conversion target
Vendor-reportedRetail & e-commerce · Personalization · Computer vision · In production · 2024