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FINS_AR_ML_SETTINGS - Basic Settings
BAL Application Log Documentation SUBST_MERGE_LIST - merge external lists to one complete list with #if... logic for R3upThis documentation is copyright by SAP AG.
Machine Learning enables you to train your system with specific algorithms that are based on a given data set to receive proposals for better results.
SAP Cash Application is a service that is used to match open receivables to incoming payments, which are processed using bank statements.
Ideally, incoming payments are automatically matched to open receivables and are then cleared. Manual post-processing of incoming payments, which could not be matched to open receivables and could not be cleared, takes time and effort. With machine learning, you can train financial applications to learn from historical matchings and, therefore, achieve higher automatic matching rates for clearing the incoming payments.
The basic settings for SAP Cash Application are:
| Component | Description |
|---|---|
| ML_ENABLED | Enables the Machine Learning functionality (TRUE/FALSE). |
| Note: If the value for ML_ENABLED is set to TRUE, the scheduled job “Cash Application: Automatic Bank Statement Reprocessing” is shown in the Schedule Accounts Receivable Jobs application. | |
| PROPOSAL_ACCURACY | Target accuracy, which should be accepted by the client system for open item proposals (in percentage). |
| AUTO_CLEARING_ACCURACY | Target accuracy, which should be accepted by the client system for automatic clearing (in percentage). |
| Note: The value for AUTO_CLEARING_ACCURACY must be greater than or equal to the value for PROPOSAL_ACCURACY. | |
| TRANING_DATA_PERIOD | The period in which the data is trained (in months). |
| ML_DATA_UPLOAD_LIMIT | The amount of data to be uploaded (in MB). |
The polling settings for SAP Cash Application are:
| Component | Description |
|---|---|
| INFERENCE_SIZE | Number of open bank statement items to send (per batch). |
| INFERENCE_TRIES | Number of accepted attempts to fetch inference results (per batch). |
| INFERENCE_DELAYS | Acceptable time to wait for fetch of inference results (in minutes). |
See the default configurations under Standard Settings.
| Component | Type | Minimum | Maximum | Default |
|---|---|---|---|---|
| ML_ENABLED | Boolean | - | - | FALSE |
| PROPOSAL_ACCURACY | Float | 0 | 100.000 | 90 |
| AUTO_CLEARING_ACCURACY | Float | 0 | 100.000 | 90 |
| TRANING_DATA_PERIOD | Integer | 6 | 36 | 6 |
| ML_DATA_UPLOAD_LIMIT | Integer | 10 | 200 | 100 |
| INFERENCE_SIZE | Integer | 100 | 10.000 | 1000 |
| INFERENCE_TRIES | Integer | 1 | 15 | 6 |
| INFERENCE_DELAY | Integer | 1 | 30 | 10 |
ABAP Short Reference Vendor Master (General Section)
This documentation is copyright by SAP AG.
Length: 5031 Date: 20240523 Time: 205009 sap01-206 ( 48 ms )
