Predictions overview

Dynamics 365 Customer Insights comes with a variety of options that leverage AI and machine learning to predict data.

Out-of-box models

The easiest way to start with predicting data are predefined models, often referred to as out-of-box models. They only require certain data and structure to generate insights quickly. Currently, the following models are available:

  • Customer lifetime value: Predicts the potential revenue of a customer throughout the entire interaction with a business.
  • Product recommendation: Suggests sets of predictive product recommendations based on purchase behavior and customers with similar purchase patterns.
  • Subscription churn: Predicts whether a customer is at risk for no longer using your company‚Äôs subscription products or services.
  • Transactional churn: Predict if a customer will no longer purchase your products or services in a certain time frame.

Azure Machine Learning integration

If an organization already uses machine learning scenarios based on Azure Machine Learning experiments, the custom models feature in Customer Insights helps to connect the dots. Create workflows that help you choose the data you want to generate insights from and map the results to your unified customer profiles. For more information, see Custom machine learning models.

AI Builder prediction

Sometimes, data sets are incomplete and some values are missing. Customer Insights can help to predict missing values for the Customer entity and segments. For more information, see Complete your partial data with predictions.