A data science team at a large retail company is exploring machine learning methodologies to enhance their customer segmentation strategy. They aim to improve marketing efficiency by accurately predicting customer behavior. The team has access to a vast dataset including customer demographics, purchase history, and online behavior metrics. They are considering both supervised and unsupervised learning approaches but are unsure which methodology best suits their current project. The project's success hinges on the ability to segment customers into meaningful groups without predefined labels, to uncover hidden patterns in purchasing behavior. Additionally, the team is constrained by a tight budget and the need for scalable solutions that can handle the growing dataset. Given these constraints and objectives, which of the following tasks is NOT typically associated with supervised learning? Choose the correct option.