This is the second part of our guide to embedded artificial intelligence features in SAP S/4HANA Cloud. In the first article, we discussed the capabilities of tools such as the vector engine, generative AI (SAP CoPilot and SAP Joule), SAP AI Core, and SAP AI Launchpad, highlighting how these technologies support users in their daily work. This time, we will focus on the practical aspects of using Embedded Machine Learning, Embedded Predictive Analytics, and Robotic Process Automation. Read the article and learn how these tools automate processes, enhance data quality, and support real-time decision-making – both in the Public Cloud and the Private Cloud Edition.
Ready-to-use AI scenarios accelerating daily work – Embedded Machine Learning (EML, Public and Private Cloud Edition)
Embedded Machine Learning (EML) in SAP S/4HANA is a set of predefined, ready-to-use machine learning models which are deeply integrated with the business processes of the ERP system. These models have been developed by SAP and are embedded directly into user interfaces (for example, in SAP Fiori). Importantly, they do not require any additional configuration – they run natively in the system.
As a result:
- they do not require additional installation, coding, or external integration,
- they run natively, responding contextually to user data and actions,
- they provide forecasts and recommendations in real time, as part of the process.
In the Public Cloud Edition, users have access to a predefined set of Machine Learning models prepared by SAP (so-called intelligent scenarios). In the Private Cloud Edition, it is additionally possible to extend the Machine Learning scenarios or implement custom ones.
Key functions of Embedded Machine Learning in SAP S/4HANA:
- integration with business processes – Machine Learning models are embedded directly into modules such as Finance, Production, Logistics, or Procurement – they run in the background, analyzing data and generating recommendations,
- real-time scoring – models process data continuously; users do not need to run separate analyses, as predictions are displayed instantly in the context of business data,
- adaptability – as users respond to the system’s suggestions, the model “learns” and adapts. For example, it improves the matching of payments to invoices based on approval history,
- data quality management – Machine Learning supports the identification of errors, duplicates, and anomalies in master data (for example, data collected from suppliers), improving its quality and consistency,
- no coding required – Machine Learning scenarios are ready to use and can be activated directly in the system (often through the so-called Configuration Expert Role).
Examples of Embedded Machine Learning use cases in SAP S/4HANA:
- automatic matching of payments to invoices (Cash Application),
- demand forecasting and production planning,
- identification of anomalies in operating costs,
- supplier risk analysis.
Benefits of using Embedded Machine Learning in SAP S/4HANA
- automation of repetitive tasks – for example, invoice reconciliation, demand forecasting, or inventory management,
- more accurate and faster decisions in everyday work – the system uses forecasts and suggestions to prompt the user with possible actions (e.g., whether to accept a payment, how to plan production, which supplier to choose for delivery) at the exact moment when they are deciding on the system; such functions reduce the need to switch between systems,
- reduction of operating costs – the tool helps minimize manual workload and errors, while accelerating order cycles,
- improved data quality and compliance – Machine Learning supports the detection of inconsistencies, errors, and deviations from standards,
- no need for data science expertise – users receive ready-made answers or suggestions directly in the system, without having to acquire specialized knowledge, which significantly simplifies daily operations,
- contextual suggestions in SAP Fiori – Machine Learning is a tool that “takes the initiative,” proactively suggesting solutions to the user, so they do not have to spend time and effort searching for answers within the system,
- trust in system recommendations – predictions are based on company data and known processes, which ensures their reliability.
From historical data to future outcomes – Embedded Predictive Analytics (Public and Private Cloud Edition)
Embedded Predictive Analytics is a function that enables SAP S/4HANA users to analyze historical data and, based on it, predict future business outcomes in real time, without the need to rely on external analytics tools.
Examples of use cases:
- generating revenue and demand forecasts,
- preparing employee turnover analyses,
- predicting delays in the supply chain,
- detecting project risks.
Benefits of using Embedded Predictive Analytics:
- the ability to respond quickly to changing market conditions,
- more efficient operational and strategic planning,
- integration of the tool with the SAP Fiori dashboard – without the need to export data between systems.
Robots in SAP – automation that saves time and eliminates errors
Robotic Process Automation in SAP S/4HANA is a feature that gives users the ability to create so-called bots (robotic workers) that perform repetitive tasks in the system. They perform actions such as clicking in specific sequences or during system operations, copying data, and sending e-mails. All of these bot-driven activities are intended to relieve actual system users, such as company employees.
Examples of use cases:
- automatic creation of purchase orders based on system data,
- sending of recurring reports,
- document processing (by combining Optical Character Recognition with Robotic Process Automation),
- synchronization of data between systems.
Benefits of using Robotic Process Automation:
- reduction of human errors,
- relieving users and freeing up resources for creative and analytical work,
- fast return on investment.
SAP S/4HANA AI – what does the business gain?
Artificial intelligence in SAP S/4HANA Cloud is not a futuristic vision but practical tools that genuinely support business operations. Embedded Machine Learning, Predictive Analytics, and Robotic Process Automation streamline processes, increase operational efficiency, and improve data quality – without the need for advanced technical expertise. With these functions, organizations can react more quickly to market changes, make better decisions, and reduce operating costs. Implementing SAP S/4HANA Cloud equipped with AI tools is a step toward building the intelligent enterprise of the future.
If you are considering implementing SAP S/4HANA Cloud and want to fully leverage the potential of artificial intelligence in your business, Hicron is a trusted implementation partner that will guide you through the transformation step by step. Explore more opportunities for your business growth and contact us today!
