3x
Engagement Up
2M+
Daily Users
85%
Retention Rate
45%
Time on Site
Overview
MediaFlow wanted to revolutionize how their content platform delivered articles and videos to users, using AI to maximize engagement and retention.
The Challenge
Creating an AI system that could learn user preferences in real-time and serve personalized content recommendations across millions of users without impacting performance.
Our Solution
We implemented a machine learning pipeline using OpenAI's APIs combined with custom models, integrated with their Next.js frontend for seamless content delivery.
Key Results
- 3x increase in user engagement
- Daily active users doubled to 2M+
- User retention improved by 85%
- Average session time increased by 45%
"
The AI recommendations have transformed our platform. Users are more engaged than ever, and our metrics are through the roof.
Technologies Used
Next.jsOpenAIPythonTensorFlowVercelSupabaseRedis
Project Details
- Client
- MediaFlow
- Industry
- AI/ML
- Timeline
- 5 months
- Team Size
- 4 developers