Intelligence Portal

Overview

Oracle CPQ 25C introduces the Intelligence Portal to enable administration of AI-generated product recommendations. Administration users can easily refine the Product Recommendation Machine Learning models' definitions. The new Intelligence Portal shows the current intelligence models, the deployment status, and the data source for the recommendations. The intelligence model status can be:

Note: Product recommendation intelligence models are automatically created when a new Commerce process is deployed. Customers cannot manually create new intelligence models.

Intelligence Portal

The Intelligence Portal provides a task-oriented process for intelligence model administration.

Basic Details

The Basic Details page is used to define settings for your product recommendations, such as Frequently Bought Together, Customers also bought, and the number of recommendations to return.

Intelligence Portal - Basic Details

Data Filters

The Data Filters page is used to specify data criteria for the training sessions. For example, you can specify only transactions where the Status is ORDERED should be used for training.

Intelligence Portal - Data Filters

Train & Preview

The Train & Preview page is used to add, delete, preview, deploy, and undeploy training sessions. This page displays the training date, last deployed date, status, number of records used, training time, and training outcome for each training session. The training session status can be:

Intelligence Portal - Train & Preview

Administration

ClosedTrain ad Deploy an Intelligence Model

Complete the following steps to train an intelligence model.

  1. Log into Oracle CPQ as a Full Access user.

  2. Navigate to Admin > Products > Intelligence Models.

  3. Click on the applicable intelligence model Name.

    Intelligence Portal

  4. Define the Basic Details for the training session.

    1. If desired, update the intelligence model Name.

    2. If desired, update the intelligence model Description.

    3. Enable Frequently Bought Together - Select this option to recommend products based on items commonly purchased together in the same quote.

    4. Enable Customers Also Bought - Select this option to recommend products based on items frequently bought by the same customer, including purchases from different quotes.

    5. Enter the Number of Recommended Items to Return.

      Intelligence Portal - Basic Details

  5. Click Save & Continue.

  6. Optional, define Data Filters for the training session.

    1. Click Add Data Filter to create a new filter.

    2. Select the Attribute, Operator, and Value.

    3. Click Create.

      Intelligence Portal - Create Data Filter

    4. The Data Filters page will display available filters.

      • Click the Delete icon to remove a filter.

      • Click the ReAdd icon to reapply the filter.

      Intelligence Portal - Add / Delete Filters

  7. Click Save & Continue.

  8. Select Deploy from the line ellipse drop-down for the applicable training session.

    Deploy Intelligence Model

  9. Click Done.


Related Topics

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