SAP Cash Application

• Understanding of accounts receivable and financial accounting processes
• Experience working with SAP FICO modules
• Basic familiarity with SAP GUI or SAP Fiori interface

Audience

• Finance and accounting professionals
• SAP consultants and end users
• Accounts receivable and cash application teams

SAP Cash Application is an AI-driven solution in SAP S/4HANA that automates the matching of incoming payments to open receivables, improving accuracy and reducing manual effort in accounts receivable processing.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals and SAP users who wish to implement, configure, and operate SAP Cash Application to optimize the invoice-to-cash process.

By the end of this training, participants will be able to:

• Understand the end-to-end process of SAP Cash Application.
• Configure matching rules and machine learning for payment automation.
• Integrate SAP Cash Application with SAP S/4HANA components.
• Monitor, analyze, and optimize cash application performance.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to SAP Cash Application

• Purpose and benefits of automation in cash application
• Position within SAP S/4HANA Finance
• Key capabilities and AI integration

Accounts Receivable and Cash Application Process

• Overview of the invoice-to-cash lifecycle
• Understanding customer payments and bank statement processing
• Traditional vs automated matching approaches

System Setup and Configuration

• Enabling SAP Cash Application in S/4HANA
• Bank statement configuration and payment advice setup
• Defining and customizing matching rules

Machine Learning and Matching Automation

• Introduction to SAP Leonardo-based ML in Cash Application
• Training and deploying matching models
• Monitoring prediction results and model accuracy

Integration and Data Flow

• Integration with bank interfaces and payment gateways
• Connecting with SAP Fiori, S/4HANA, and third-party systems
• Managing master data and open items

Operational Tasks and Error Handling

• Running automatic matching in production
• Reviewing exceptions and manual clearing
• Reporting and reconciliation tools

Optimization and Best Practices

• Fine-tuning matching logic for improved automation
• KPIs for monitoring automation success
• Lessons learned and rollout considerations

Summary and Next Steps