AI recommendation engine: How machine learning delivers personalized suggestions at scale

Describes how AI recommendation engines analyze user behavior, purchase history, and item attributes to predict and suggest the most relevant products or content for each customer. Unlike static rules-based suggestions, these systems continuously learn and adapt across email, push, SMS, in-app messaging, and web channels.