Demo Script for SAP S/4HANA 2023 FPS03/FPS02 Fully-Activated Appliance: Predictive Analytics and Machine Learning
In this demo, explore how predictive analytics, models and machine learning work using examples, (e.g., Predictive Sales Quote Conversion; Sales Delivery Creation Delay; Seat Occupation for an airline) to see how predicted results can be influenced by data quality, volume and time, and can influence business action based on the predicted results. Download the Document2
© 2024 SAP SE or an SAP affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material.
PUBLIC
SAP S/4HANA 2023 FPS03/02 Fully-Activated Appliance
April 2025
Demo Guide:
Working with Predictive Applications and Models
© 2024 SAP SE or an SAP affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material.
PUBLIC
SAP S/4HANA 2023 FPS03/02 Fully-Activated Appliance
April 2025
Demo Guide:
Working with Predictive Applications and Models
3
© 2024 SAP SE or an SAP affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material.
Table of Contents
1 How Can This Script Be Used? 5
1.1 Passwords for the pre-configured demo users 5
2 Introduction to Predictive Analytics and Machine Learning 6
3 Demo Story: Predictive Delivery Delay 7
3.1 Demo Overview: Predictive Delivery Delay 7
3.2 Predictive Applications: Predicted Delivery Delay 7
3.2.1 Prerequisite: Check Current Predictive Model Version 8
3.3 Create, Train and Activate a New Model Version 10
4 Demo Story: Create Sales Orders from Unstructured Data using Machine Learning 13
4.1 Setup steps: 13
4.1.1 Links for Setup using SAP Best Practices Guides: 13
4.1.2 Setup and enable your SAP BTP account for “Document Information Extraction” service in the
SAP BTP cockpit. 14
4.1.3 Backend S/4H Setup steps: Creating a Service Connection 17
4.1.4 Activating Intelligent Scenario (Fiori Ap in SAP S/4HANA) 18
4.2 Demo Steps 20
4.2.1 Upload PDF Purchase Order and Create Sales Order 20
5 Demo Story: First Class Seats Occupied 25
5.1 Demo Overview: First Class Seats Occupied 25
5.2 Predictive Applications: Intelligent Scenario 25
5.3 Predictive Applications: Intelligent Scenario Management 28
5.3.1 Prerequisites: Check Current Intelligent Scenario Management Version 28
5.3.2 Prerequisites: Eclipse IDE 30
5.4 Visualize the Model Version Predictions 30
5.5 First Class Seats demo story – Additional links 34
6 Appendix: 35
© 2024 SAP SE or an SAP affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material.
Table of Contents
1 How Can This Script Be Used? 5
1.1 Passwords for the pre-configured demo users 5
2 Introduction to Predictive Analytics and Machine Learning 6
3 Demo Story: Predictive Delivery Delay 7
3.1 Demo Overview: Predictive Delivery Delay 7
3.2 Predictive Applications: Predicted Delivery Delay 7
3.2.1 Prerequisite: Check Current Predictive Model Version 8
3.3 Create, Train and Activate a New Model Version 10
4 Demo Story: Create Sales Orders from Unstructured Data using Machine Learning 13
4.1 Setup steps: 13
4.1.1 Links for Setup using SAP Best Practices Guides: 13
4.1.2 Setup and enable your SAP BTP account for “Document Information Extraction” service in the
SAP BTP cockpit. 14
4.1.3 Backend S/4H Setup steps: Creating a Service Connection 17
4.1.4 Activating Intelligent Scenario (Fiori Ap in SAP S/4HANA) 18
4.2 Demo Steps 20
4.2.1 Upload PDF Purchase Order and Create Sales Order 20
5 Demo Story: First Class Seats Occupied 25
5.1 Demo Overview: First Class Seats Occupied 25
5.2 Predictive Applications: Intelligent Scenario 25
5.3 Predictive Applications: Intelligent Scenario Management 28
5.3.1 Prerequisites: Check Current Intelligent Scenario Management Version 28
5.3.2 Prerequisites: Eclipse IDE 30
5.4 Visualize the Model Version Predictions 30
5.5 First Class Seats demo story – Additional links 34
6 Appendix: 35