Assistance in Oracle ARCS for Predicting Matches with AI

From Apr-2026 monthly patches, Oracle have introduced the AI assistance for predicting Matches using AI for both Reconciliation compliance and Transaction Matching module. Below are the details -

Transaction Matching Assistance for Predicting Matches with AI

Transaction Matching Assistance uses Artificial Intelligence (AI) to predict matches in Transaction Matching by using a prediction model that is trained using your historical manual match data. Users have the option to review the predicted matches and confirm or discard them.

A confidence score is provided for each predicted match. Higher confidence scores indicate that the predicted matches are more reliable. The confidence score helps users prioritize and make informed decisions about manual matches.

Business Benefit:

 In addition to an enhanced user experience, this feature provides the following benefits:

Reduces time and effort spent on manual matching

    A majority of the loaded transactions are matched using Auto Match, with only the exceptions needing to be manually matched. Predicting potential matches for unmatched transactions further reduces time and effort spent on manual matching, thereby speeding up the period-end close process.

Improves accuracy and enhances the overall efficiency of manual matching

    Data-driven predictions that are based on proven patterns leads to more accurate and consistent predicted matches

Steps to enable and configure

The Enable Predictive AI configuration setting must be selected to use Transaction Matching Assistance.

Reconciliation Assignment Assistance for Predicting Attribute Values with AI

Reconciliation Assignment Assistance uses Artificial Intelligence (AI) to predict the value of a specified attribute by using Machine Learning algorithms that are trained on your historical data. To use Reconciliation Assignment Assistance, Service Administrators must create a predicted attribute and train it using the existing data. This training creates a model that can then be used, any number of times, to predict the value of the specified attribute. The model can be retrained periodically to reflect changes in data over time, thereby ensuring its effectiveness.

For each predicted value, an attribute is created for confidence percentage. A higher confidence percentage indicates that the predicted value is likely more accurate.

Business Benefit: 

In addition to automating the process of setting values for profile attributes, this feature provides the following benefits:

1. 1.Reduces the manual effort involved in creating profile attributes, thereby enabling you to focus in higher-value tasks
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3. 2.Streamlines and speeds up the period-end close
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5. 3. Enhances consistency and accuracy by minimizing human errors and leveraging historical data-driven insights

Steps to enable and configure

The Enable Predictive AI configuration setting must be selected to use Reconciliation Assignment Assistance.

Thank you!