Using Artificial Intelligence with SAP for Dynamic Financial Environments

Creating a Supervised AI Model to Support Marketing and Operations

Traditional programming approaches—such as using ABAP development to create customized applications within SAP—are often too slow to respond to today's fast-changing environments. With the rise of artificial intelligence (AI), data scientists are able to create more sophisticated, customized calculations in SAP to better support marketing and operations. In this article, the author explains how to build an AI model using SAP tools that can manage sales volumes with dynamic commissions based on inventory levels.

After reading this article you will be able to:
- Define AI's current role in SAP and two types of AI;
- List examples of SAP tools that can be used to create applications using AI; and
- Recall the steps required to build an intelligent system.

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Dr. Marco Sisfontes-Monge Managing Partner, Arellius Enterprises
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Dr. Marco Sisfontes-Monge is a managing partner of Arellius Enterprises. For more than 15 years he has supported SAP implementers, direct clients, and other customers in Europe, North America, Latin America, Asia, and Africa in the industries of automotive, insurance, pharmaceutical and healthcare, logistics, software, utilities, chemical, oil and gas, exploration and natural resources, discrete and process manufacturing, retail, and financial services. His background includes project management and performance measurement, product- and activity-based costing, design optimization, discrete and process simulation, system dynamics, artificial intelligence and machine learning, and advanced statistical methods. He also has finance specializations from the London Business School and Saïd Business School from University of Oxford in England. You may contact him via email at