The text discusses how artificial intelligence (AI) can be used to develop a product recommendation system that can increase sales by providing personalized product suggestions. The system is built by analyzing customer data and generating recommendations based on it. The two types of product recommendation systems are collaborative filtering and content-based filtering. Various technologies and techniques like machine learning algorithms, data mining techniques, and natural language processing can be used to develop the system. The steps to create a product recommendation system involve collecting and analyzing customer data, selecting the algorithm, integrating the system with the company's internal systems, and monetizing it. The monetization strategies include affiliate revenue programs, collecting user data, and offering subscription-based services. Product recommendation systems with AI can be offered as SaaS to generate revenue.