
Recommendation Strategy & Consulting
Plavno helps businesses define the right recommendation strategy based on product type, audience behavior, available data, and revenue goals. We identify where AI recommendations can create the biggest impact.

Custom Recommendation Engine Development
We build custom AI recommendation engines that deliver personalized product, content, and service suggestions based on user interactions, preferences, and behavioral signals.

Recommendation Model Development
Our team develops recommendation models using collaborative filtering, content-based logic, hybrid approaches, and behavioral scoring to match your platform requirements.

Recommendation System Integration
Plavno integrates AI recommendation systems into websites, mobile apps, eCommerce platforms, CMS environments, SaaS products, and internal business systems.

Recommendation Optimization & Testing
We improve recommendation quality through model evaluation, feature tuning, A/B testing, ranking refinement, and continuous performance optimization.

Support & Maintenance
We provide long-term support for recommendation systems, including retraining, monitoring, logic updates, data pipeline improvements, and scalability enhancements.