Automation with Machine Learning (ML)

Now, let’s move on with some further details on the cash application process and our new product SAP Cash Application Add-on for Contract Accounting.
As explained earlier in this course, SAP BRIM is typically handling high data volumes and automated processes are crucial. Especially the cash application process can be related to high manual effort and costs if the system is not able to provide the right clearing proposals for incoming payments. Therefore, the new SAP Cash Application Add-On is now using a Machine Learning approach to assign payments to open items and to further streamline this process.
Challenges of the Cash Application Process

Before we look at the SAP Cash Application itself, we will first clarify why such an Add-On is even needed. Therefore, we are going to look at one central point now: "Why does a head of Shared Service or Receivables care about the automation rates of cash application?"
To understand this topic better here are some questions that emphasize the importance of this.
Question or Challenge | What's Behind this? |
---|---|
How can we support this growth in payments without a huge expansion to team size? | The Business wants to grow the number of customers but you want your AR team to be able to process the increased volume of payments without adding more accountants to the team. |
Why are our existing rules less effective over time? | This is the weakness of rules-based solutions available in the market. Machine Learning doesn’t have this weakness. Conditions in the system might change over time and rules need to be adapted which can happen automatically with Machine Learning instead of manually. |
Uncleared invoices are leading unjustified bad payment behavior assessment of customers. | This might affect the way premium customers are treated, for example with payment conditions. You want to treat your good customers in a way that improves the relationship with them, making sure they will remain good customers. |
Is there a solution that fits seamlessly into my SAP landscape? | Competitive solutions may not be aligned with your roadmap. Additional interfaces add complexity and increase cost. |
Cash sitting on the customer’s account is driving up our DSO metrics. | This is the metric AR and Shared Services teams care about the most – it’s key to their performance reviews. Therefore, it is key to assign incoming payments to open items as quickly as possible. |
How can our process be improved for customers that don’t send remittance? | This is important if you’re in a country where customers and banks don’t send information consistently. |
What could Machine Learning do to improve our matching rates? | Tech-savvy companies want to see how this use case is addressed by Machine Learning. |