AI Recommendations
That Convert
Show the right product, content, or offer to each user. Our models learn from behavior in real-time and adapt to changing preferences.
Recommendation Types
Product Recommendations
"Customers also bought", "You might like", personalized homepage, and cart recommendations.
Content Recommendations
Articles, videos, and posts tailored to each user. Increase time on site and engagement.
Personalized Search
Rank results based on user preferences and history. Different results for different users.
Email Personalization
Dynamic product blocks in emails. Different content for each recipient based on behavior.
Offer Targeting
Show the right discount or promotion to the right user. Optimize for conversion and margin.
Category Sorting
Personalized category pages. Show relevant items first based on user interests.
How It Works
Collect Data
User behavior, item attributes, and context signals.
Train Models
Collaborative filtering, content-based, and deep learning.
Serve Real-time
Sub-50ms recommendations via API.
Optimize
A/B test, measure lift, and continuously improve.
Tech Stack
TensorFlow
Deep learning
LightFM
Hybrid recs
Faiss
Vector search
Redis
Real-time cache
PostgreSQL
User data
Kafka
Event stream
Kubernetes
Scaling
MLflow
Model tracking
Ready to Personalize at Scale?
See a 20-35% lift in conversions with AI recommendations.