AdaptML® is a self-training deep learning AI system that adapts the digital experience individually to each user by extrapolating buying intent from customer data and predicting products they may be interested in.
How Does AdaptML Work
Dynamic Yield applies machine learning to your customer engagement and contextual data to determine which products each customer is most likely to purchase, and dynamically adapts the customer experience to focus on those products.
The AdaptML system powers several of the Dynamic Yield decisioning engines by sharing data points from across the platform’s predictive, ranking, and deep learning algorithms, allowing the learnings from each of these sophisticated solutions to be applied across the platform.
The system provides marketers with enhanced decisioning power, maximizing their ability to deliver the next best experience for each visitor.
The result: better conversion and higher revenue.
Applications powered by AdaptML
- Deep learning strategy for web recommendations – A self-training deep learning recommendation strategy that automatically predicts the next product of interest by exploiting the co-occurrence of items in a user's browsing history. Learn more about Deep Learning Recommendations.
- Deep learning strategy for recommendations within emails – Personalized email recommendations that are made and render upon the opening of the email by each individual recipient, and powered by deep learning algorithms. Learn more about Deep Learning Recommendations.