Personalized Recommendation Systems

Offer every user or customer a truly relevant experience through AI-powered product, content, or service recommendations driven by behavior, context, and advanced ML algorithms.

Offer every user or customer a truly relevant experience through AI-powered product, content, or service recommendations driven by behavior, context, and advanced ML algorithms.

Our recommender solutions are tailored for Web, Mobile, and SaaS — using Azure, OpenAI, and Graph AI. Suitable for both small startups and enterprise-scale deployments.

Key Features

  • Real-time collaborative and content-based filtering
  • User segmentation, intent, and scenario modelling
  • A/B testing and analytics dashboard for recommendation optimization
  • Dynamic recommendation APIs and integrations with eCommerce, streaming or app platforms
  • Graph-based session personalization (Neo4j)

Benefits

  • 🎯 Drive higher conversions and increase average order value
  • 🎯 Boost engagement through personalized experiences
  • 🎯 Adapt to changing user needs in real-time
  • 🎯 Maximize customer lifetime value (LTV) and loyalty

Real-World Use Cases

  • eCommerce product upsell/cross-sell recommendations
  • Media/news content suggestions
  • Personalized meal, property, finance, or travel planning
  • Profile-based or contextual dynamic marketing campaigns

Our Recent Projects