Example Concept: AI systems analyze customer interactions, such as reduced email open rates, decreased website visits, or lower purchase frequency, to identify patterns indicative of declining engagement. By leveraging predictive analytics, these systems can forecast the likelihood of churn and trigger automated retention strategies, such as personalized re-engagement campaigns, to mitigate potential losses.