Personalization

Fuzu · MindTitan

Vendor-reportedProfessional servicesFinlandIn productionEnterpriseNLPLive 2019

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 mindtitan.com (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.

The problem

Fuzu had a cumbersome onboarding process requiring users to answer many questions, leading to lower completion rates and a need for more personalized job recommendations.

What was deployed

Vendor
MindTitan
Technique
NLP
Build or buy
Built in-house or to order
Deployment
Custom build
Data used
uploaded text documents such as resumes and cover letters; tens of thousands of jobs posted since 2015; users' previous interactions with the platform, including past job applications
Scale
more than one million users in Kenya, Uganda and Nigeria

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.

increased by 30%Click-through rate for job applications

Click-through rate for job applications increased by 30%

Quoted word for word from the source · round percentage, no baseline given

90% accuracyAccuracy of education level classification

We're now able to determine education levels with 90% accuracy.

Quoted word for word from the source

Since launching our job recommendation algorithm based on user behavior, our click-through rate for applications has increased by 30%.
Atte Keinänen

Difficulties and limits

Sources

Similar deployments

Intuit

over 65 billion — Machine learning predictions generated

Independently reportedTechnology & software · Personalization · LLM · Scaled

Zalando

increased by 40% — basket sizes

Independently reportedRetail & e-commerce · Personalization · Classical ML · In production

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