Zalando
increased by 40% — basket sizes
Independently reportedRetail & e-commerce · Personalization · Classical ML · In production
Personalization
ANINE BING · FindMine
Vendor-reportedRetail & e-commerceUnited StatesScaledEnterpriseRecommenderLive 2021
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 findmine.com (vendor self-report). Checked against the source page on 2026-09-06. 5 of 5 figures below appear on that page word for word.
The problem
Scaling its distinctive aesthetic across its entire digital ecosystem while elevating the customer experience in each region.
What was deployed
- Vendor
- FindMine
- Products
- FindMine, FindMine Anywhere
- Technique
- Recommender
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- product catalog, brand guidelines
- Scale
- across its entire digital ecosystem, over 93% of products
What changed
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.
5.83% increaseConversion rate
“Conversion rate increase of 5.83% (3.5x lift for shoppers who interacted with FindMine outfits)”
Quoted word for word from the source
35.57% increaseUnits per transaction
“35.57% increase in units per transaction (Customers who engaged with FindMine recommendations added two or more items on average to their cart)”
Quoted word for word from the source
13.67% increaseAverage order value
“Average order value increased by 13.67% when FindMine outfits were engaged”
Quoted word for word from the source
7.42% increaseRevenue per visitor (RPV)year-long
“Revenue per visitor (RPV) increase of 7.42%”
Quoted word for word from the source
8.40% liftRepeat purchaseyear-long
“Repeat purchase lift of 8.40%”
Quoted word for word from the source
Sources
- findmine.com — vendor self-report, 2025-02-21
Similar deployments
Intuit
over 65 billion — Machine learning predictions generated
Independently reportedTechnology & software · Personalization · LLM · Scaled
Kingfisher Group
more than 10% — e-commerce sales originating from product recommendations
Independently reportedRetail & e-commerce · Personalization · Classical ML · Scaled · 2023
BABOR · Revieve
Vendor-reportedRetail & e-commerce · Personalization · Computer vision · Scaled
JCPenney · Revieve
Vendor-reportedRetail & e-commerce · Personalization · Computer vision · In production
Paula’s Choice Taiwan · Revieve
104% — achievement on new conversion target
Vendor-reportedRetail & e-commerce · Personalization · Computer vision · In production · 2024