Machine Learning for Monitoring of Goods and Invoice Receipts (2ZS)

Machine Learning for Monitoring of Goods and Invoice Receipts (2ZS)

A machine learning feature of the GR/IR application makes a prediction of the next status based on the history of processing goods and invoices received. The predictions are provided by a Machine Learning (ML) service that runs on the SAP Cloud. This communication scenario is related to the connection of the SAP S/4HANA backend and the ML service.  This scope item is deployed in conjunction with the Goods Receipt / Invoice Receipt monitor.

Key Process Steps Covered

  • Reconcile GR/IR accounts
  • Monitor GR/IR account reconciliation

Benefits

  • Predict the next status based on the history of processing goods and invoices received
  • Integrate with the Monitoring of Goods and Invoice Receipts (2V7) scope item

Where is Machine Learning for Monitoring of Goods and Invoice Receipts(2ZS) being used?

This Scope item is used in the following way:

  • As a management function of Cost Management and Profitability Analysis within Finance Scope Item Group

No Process Flow details available for scope item Machine Learning for Monitoring of Goods and Invoice Receipts(2ZS)-s4h-2021
Ref: Finance of SAP S4H-2021
Best Practices related to S/4HANA*1) Yearly Updates are released per September of each year
*2) The Quarterly updates are released per Februari, May, August and November
Details of future releases can be found in the SAP Roadmap section of each product. Go to SAP Roadmap Product Finder.
Knowledge Center Scheer Nederland | The Process Experts Visit also the SAP Cloud ERP knowledge center of Scheer Netherlands. The following topics are covered:
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