Question: How can I use AI to offer personalized game recommendations to my casino users and increase revenue?

To personalize game recommendations for your casino users and boost revenue, VAIX is a powerful option. It's an AI-based information retrieval system for the iGaming industry, with a range of solutions that can be integrated with frontend and CRM systems. The system offers personalized game recommendations, calculates Customer Lifetime Value, and uses Chat Management to boost player engagement while promoting responsible gaming. With easy integration, scalability and low technical overhead, VAIX continuously learns to optimize performance.

Another good option is Gamelight, a user acquisition platform for mobile games that uses AI to process app usage data and user behavior. Gamelight offers personalized game recommendations based on user preferences and gaming history, as well as a reward algorithm that rewards users with points redeemable for gift cards. The platform's ROAS algorithm optimizes targeting and return on ad spend, so it's good for boosting user engagement and retention in the gaming industry.

For a flexible and scalable option, check out Recombee. This AI-powered real-time recommender service has a simple RESTful API and SDKs for easy integration into a variety of industries. Recombee uses AI personalization to boost user engagement and conversion through real-time recommendations, and it gives you full control over the recommendation engine with custom filters and boosters. It handles more than a billion recommendations per day, and it can optimize KPIs with AI-powered A/B testing.

Last, RichRelevance is a personalization technology that can be used to customize customer experiences across web, mobile and in-store interactions. By combining advanced analytics and machine learning, RichRelevance adapts customer interactions in real time, and it's been shown to drive significant revenue uplift. It powers more than 200 global companies across many industries, making more than 1 billion decisions per day from 14 global data centers. It could be used to personalize game recommendations and boost user engagement.