Deliver hyper-personalized content, products, or services using AI that understands user behavior and boosts engagement and revenue.
Personalized Content Recommendation System
- AI model that analyzes user behavior to suggest movies, videos, or products.
- Uses collaborative and content-based filtering with hybrid models.
- Continuously updates based on real-time feedback and engagement.
- Can be deployed in OTT platforms, e-commerce, or learning apps.
- Boosts retention and conversion by tailoring content per user.
E-Commerce Product Suggestion Engine
- Engine that recommends products based on user history and product embeddings.
- Includes cross-selling (“Customers also bought”) and up-selling strategies.
- Incorporates demographic, behavioral, and seasonal data.
- Increases basket size and average order value.
- Plug-and-play module for integration.