Abstract: A machine learning engine dynamically reweights input factors as user outcomes are observed and compared to various offers and incentives provided to a large sampling of users. Further, post-selection purchase flows may be optimized by an artificial intelligence (AI) engine to dynamically generate purchase flows that are based on real time data and user segmentation. The AI engine may selectively introduce random variations to small populations to provide feedback for optimizing solutions.