Adaptive Decision Manager (ADM) uses self-learning models to predict customer behavior. Adaptive models are used in decision strategies to increase the relevance of decisions.
ADM models are self-learning which means that they are automatically updated after new responses have been received. The ADM service captures predictor data and responses and can therefore start without any historical information. You can use adaptive decisioning to identify propositions that your customers are most likely to accept, improve customer acceptance rates, or predict other customer behavior.