AI Engine Configuration
Before you can use AI recommendations, AI Search and Propensity model in the Predictions module, you must prepare an item catalog which will be the source of items. You can use the same item catalog for these three features or you can configure an item catalog for each feature separately.
Below you can find a list of articles that describe the configuration process of AI engine for each AI-powered feature.
After the configuration, you can monitor the model status. When the model is trained and active, you can create a recommendation.
Configure AI engine for AI Search
Learn how to start using AI engine for the search
Configure AI Engine for Propensity
Learn how to start using AI engine for Propensity model in Predictions
Configure AI engine for Recommendations
Learn how to start AI engine for recommendations
Once you configured the product feed for the training, you can check the status