Example Concept: AI-driven customer segmentation leverages machine learning algorithms to analyze large datasets, identifying patterns and clusters within customer behaviors and demographics. This process involves selecting appropriate algorithms (e.g., k-means clustering, decision trees) and ensuring high-quality, relevant data inputs. The success of segmentation is measured by how well the resulting segments can be targeted with personalized marketing strategies that align with business goals.