Target Inc's data science team developed a customer loyalty system using a machine learning technique called Bayesian classification network that represent conditional dependencies against sets of random variables. In this case Target developed a strategy to understand customer behaviour and shopping habits and encourage customers to try products similar to their usual brand purchases. Target's CRM data warehouse contain customer engagement key figures with a brand dimension are fed to Target's Customer Loyalty system to answer for the best method to communicate with customers for brand experiences. Target's CL system was able to mine the teenager's shopping baskets and segmented her as a potential pregnant mother, therefore sending her baby coupons which is her preferred communication method. This ML technique is also used in Google Mail to filter out spam mail.