After configuring the Scoring Framework and creating the Copy Field Enrichment, create
and configure a machine learning use case in AI Accelerator. The AI Accelerator use case connects
the trained Invoice Risk Score model to your Salesforce org so that risk predictions are
accessible on invoice records.
Customize Application AND Data Cloud User AND Write Access to Data Action AND
Write Access to Data Space Definition
Note Invoice Risk Scoring is a pilot or beta service that is subject to the Beta Services
Terms at Agreements - Salesforce.com or a written Unified Pilot Agreement
if executed by Customer, and applicable terms in the Product Terms
Directory. Use of this pilot or beta service is at the Customer's sole
discretion.
From Setup, in the Quick Find box, find and select AI
Accelerator.
Click New to create a use case.
Use the more option to edit the use case to configure it.
Select Einstein on Data Cloud as the Prediction Platform.
The Invoice Risk Score model is built and trained in Data 360, so AI Accelerator looks
for predictions there.
For Prediction, select Already Generated.
In the Scoring Field section, configure these fields.
Predicted Overdue
Predicted Date Invoice Overdue
Risk Level
Invoice Risk Score
These fields are the model outputs that surface on the Invoice record—the predicted
overdue date and the High, Medium, or Low risk classification.
For Reference Record Field, select the InvoiceRiskScoringObject
and set the field to Invoice ID.
This action links each Data 360 prediction row to the correct Invoice record.
Enter a Prediction Label Template.
A prediction label template is a display string that tells AI Accelerator how to
present the prediction result to users on the Invoice record. It typically combines static
text with dynamic field values.
In the Use Case Model section, select the Invoice Risk Score model created during
Scoring Framework setup.
Save the changes.
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