Intelligent Account Combination Defaulting

As an accounts payable analyst, you can use the default values for account combinations that AI and machine-learning algorithms provide on the accounts payable invoice lines.

Al and machine-learning algorithms predict and automatically default segment values of the account code combination on no-PO accounts payable invoice lines. For these predictions, AI and machine-learning algorithms use historic data patterns and other influencing factors. Segment values are defaulted if they exceed the dynamically calculated confidence score threshold for each segment to maintain a high level of prediction accuracy. If the confidence score threshold isn't met, these segments remain blank and require manual input.

When a distribution combination segment value is defaulted and then edited to a different value, the Al and machine-learning algorithms use these corrections to improve the prediction accuracy.

Here are some benefits of using this feature:

Reduced entry time and accelerate the process of making invoices ready for payment
Reduced “think time”
Focus on data accuracy rather than data entry

Note: It's best practice that at least 3 months of invoice history is available for satisfactory rendering of predictions by the AI models. Additional invoice history would further improve the prediction performance.

Activate the Feature

As a user with the Application Implementation Consultant role, here’s how you can activate the Intelligent Account Combination Defaulting feature:

Create the Business Intelligence User for data ingestion. See Create the Business Intelligence User and Role.
Connect AI Apps to Business Intelligence to enable data ingestion and model training. See Connect AI Apps to Business Intelligence.
After the model is trained, download the evaluation report. See Train Models for AI Apps Features and Download Evaluation Reports.
Opt in for the feature using the promotion code in the evaluation report. See Opt In for Intelligent Account Combination Defaulting.