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Product and Topic Expert
Product and Topic Expert

SAP S/4HANA Cloud, public edition, fuels the customer journey to the intelligent enterprise.

Release update after release update, we are improving our Cloud ERP solution adding "intelligent scenarios" at the heart of the business processes. Those help customers increase business agility by reducing manual efforts, and make the lives of their end users as simple as it can be.

In this blog, you will find the latest collection of "intelligent ERP" use cases and business scenarios.

Get familiar with them to learn more about the added value of an "intelligent ERP" to your enterprise.

You will find here links to different release updates:

Q1 2018Q2 2018Q3 2018Q4 2018
Q1 2019Q2 2019Q3 2019 Q4 2019
Q1 2021Q2 2021Q3 2021Q4 2021
H2 2022H1 2023H2 2023H1 2024

Realizing the Intelligent Enterprise in SAP S/4HANA Cloud, public edition, is mainly achieved by leveraging modern technologies, which are not entirely new, but which have come to maturity within the last couple of years. Here is a overview of the technologies we are leveraging today.

Robotic Process Automation

With SAP Build Process Automation, SAP provides a technology that allows to embedded automation in end-to-end business process in a scalable way.
Check out the new bot store to find about the existing bots for each business area, as well as the SDK to build and run your own automation projects.

SAP Build Robotic Process Automation Store

Machine Learning and Artificial Intelligence

Artificial Intelligence is at the heard of SAP's strategy to help all customers become more intelligent enterprise. Machine learning is a subset of artificial intelligence (AI) in which computers learn from data and improve with experience without being explicitly programed.

It is focused on teaching computers to learn from data and to improve with experience – instead of being explicitly programmed to do so. Technically, in machine learning, algorithms are trained to find patterns and correlations in large data sets and to make the best decisions and predictions based on that analysis. Machine learning applications improve with use and become more accurate the more data they have access to.

Making use of machine learning, we can make sure that our customers can reduce mundane tasks and thereby increase business agility.

Situation Handling

Process automation can be achieved as well via "Situations". Situation handling is a concept for bringing urgent issues to the user’s attention. “Situations” indicate exceptional circumstances that are critical to a business process. The solution proposals can be either predefined or learned, based on similar cases in the past.

SAP delivers situation templates that Business Configuration Experts can adopt and deploy using the “Manage Situation Types” Fiori app. It pre-defines a particular business situation. i.e. Not all situations are available to track.

Predictive Analytics

Predictive analytics helps users to focus more on outcomes than on the past. Better forecasting techniques can drastically reduce manual efforts and help businesses to scale. SAP Predictive Analytics is business intelligence software from SAP that is designed to enable organizations to analyze large data sets and predict future outcomes and behaviors.

Example: Reliable Business Prediction with Predictive Liquidity Planning 

Find More Information on SAP S/4HANA Cloud, Public Edition:

    • ‘Highlights of the SAP S/4HANA Cloud, Public Edition 2302 Release’ blog post here
    • SAP S/4HANA Cloud, public edition release info here
    • Latest SAP S/4HANA Cloud, public edition release blog posts here and previous release highlights here
    • SAP S/4HANA PSCC Digital Enablement Wheel here
    • Early Release Webinar Series here
    • Inside SAP S/4HANA Podcast here
    • openSAP Microlearnings for SAP S/4HANA here
    • Best practices for SAP S/4HANA Cloud, public edition here
    • SAP S/4HANA Cloud, Public Edition Community: here
    • Feature Scope Description here
    • Help Portal Product Page here

Follow us via @SAP and #S4HANA, or myself via LinkedIn or Twitter.