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 ihux.co (vendor self-report). Checked against the source page on 2026-09-05. 6 of 6 figures below appear on that page word for word.
Build a personal finance app that helps users spend less by offering actionable, personalized recommendations, unlike existing budgeting apps.
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.
“The app hit the App Store with a 4.8-star rating within the first month”
Quoted word for word from the source
“Organic growth delivered 5,000 users in month one”
Quoted word for word from the source
“Day-7 retention was 52%, significantly above the 20-25% industry average for finance apps.”
Quoted word for word from the source
“FinFlow launched simultaneously on iOS and Android exactly 5 weeks after our kickoff meeting.”
Quoted word for word from the source
“This single decision drove 3x higher daily engagement compared to the industry average for finance apps.”
Quoted word for word from the source
“Users who received these reports saved an average of 12% more than those who did not.”
Quoted word for word from the source
“iHux turned our rough idea into a polished AI-powered app in under 6 weeks. The team moves fast without cutting corners — our app hit 4.8 stars on the App Store within the first month.”
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