A comprehensive case study on how we transformed this project and delivered measurable business results.
Duration
7 months
Budget
$320K
Team Size
8 people
Status
Completed
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Our client faced significant challenges that were impacting their business growth and user experience. We needed to develop a comprehensive solution that addressed multiple pain points simultaneously.
Building ML model from scratch with limited historical data
Achieving personalization at scale
Balancing accuracy with diversity in recommendations
Cold-start problem for new users
We developed an integrated strategy combining design excellence, modern technology, and strategic thinking to deliver a comprehensive solution.
Trained deep learning model on 50M+ user interactions
Implemented collaborative filtering with content-based hybrid approach
A/B tested 50+ variations to optimize diversity-accuracy tradeoff
Bootstrapped new users with demographic and behavior clustering
increase in user engagement
ML model accuracy on holdout test set
revenue uplift from improved recommendations
10M+ recommendations daily
Deep user research led to insights that shaped every design decision.
Building with scalability in mind from the start enabled exponential growth.
Close partnership between design, development, and product teams was crucial.
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