Guide Your SAP S/4HANA Project to Success Unit 10: SAP S

Guide Your SAP S/4HANA Project to Success

Unit 10: SAP S/4HANA Innovation Examples in Action

2PUBLIC© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP S/4HANA Innovation Examples in Action

SAP Intelligent Technologies for SAP S/4HANA

Thinking / Decision Making

SAP Data Intelligence Incl.SAP Analytics CloudSAP HANA

Listening & Speaking

SAP Conversational AI

Acting

SAP Intelligent RPASituation Handling

At the Heart of Your Business

Intelligent ApplicationsExperience Management with Qualtrics

SAP S/4HANA



Intelligent Technologies and integrated automation suite

Conversational AI (CAI)

InteractSituation Handling +

Intelligent RPA

Execute

Machine Learning (ML)

Optimize

Chatbots to interface and

hand over to execution bot

Assist user with access to peer

for guidance & interaction or

smart support with automated

conversational bot

Multiple bot workflows for

execution

Automate standard processes via

recorded transaction to execute

repetitive & time-consuming tasks

automatically going forward. Use SAP

Cloud Platform for cross-system

automation

Self-learning bots and

applications

with dynamic adaptability

Learn from customer-specific

history and exceptions to predict,

support steps, automate, or

optimize business user decisions

+



Question 1

“How is AI and

automation going to

help me in day-to-day

tasks?”



Case study: sales manager

Dilemma of sales

manager

I should be able to efficiently create

sales inquiries and sales orders.

How do I improve sales volume?

I need to anticipate and

resolve delivery delays to

retain strong working

relationships with customers.

I need to be more proactive but I

lack the right insights.

There must be a less manual

way to create sales inquiries!



Case study: sales manager

Answer is?

Automation

Automation to the Rescue

1. Create sales inquiries

2. Predict sales performance

3. Predict quotation-to-order conversion rate

4. Alert to expiring quotation

5. Create sales orders

6. Create payment plans

7. Predict delivery delays



Demo

Demo

Automation

https://www.youtube.com/watch?v=AV_BLAjWgTs



Question 2

“Does SAP S/4HANA

provide machine learning

scenarios that can help

me in improving the

business decisions?”



Delivered intelligent ERP scenarios for SAP S/4HANA 1909

Scenarios delivered across –e.g. Finance, Manufacturing, Research and

Development, Supply Chain, Procurement, Sales and

Service, Professional Services, Master Data

Management

SAP has built various intelligent scenarios into

SAP S/4HANA, leveraging machine learning and

automation technology



Machine learning implementation in SAP S/4HANA

Receivables Line Item Matching

Use Case

Idea

Existing ML

for use case

Consume

ML-enabled

SAP Fiori

application

Model adaption

and configuration

TrainIncrease the

predictive

confidence and

predictive power

during continuous

evaluation,

validation, and fine

tuning

PAI

Find out about the existing

use cases from Best

Practices Explorer and

scope item

https://rapid.sap.com

Adapt the model.

Can also add

filters

https://rapid.sap.com/



Predict delivery date for purchase order items

Maximize raw material availability without compromising your production planning

Improved material

planning and delivery

Avoid production delays

and re-scheduling

Resolve issues earlierReduce the manual

effort for monitoring

Predict the

delivery date of a

shipment and

classify the

status

Historical order

header and line

item data

Evaluate

deviations from

the plan and

take action



Demo – Predictive app

PAi demo (SAP Predictive Analytics integrator)

Test the app

Train and activate the model



Question 3

“Is there a way I can be

notified on key issues

that need my attention,

like missed deadlines,

overages, or exceeded

thresholds?”



Situation Handling

Situation Handling

▪ Enables customers to put a spotlight on key issues requiring attention

▪ Realize better business outcomes

▪ Business users get notifications and recommendations when relevant situation scenarios

occur, such as

– Missed deadlines

– Overages, and

– Exceeded thresholds


▪ Improve employee productivity with artificial intelligence

and machine learning

▪ Focus on high value tasks instead of repetitive ones

▪ Reduction of repetitive tasks due to automation

▪ Leverage machine learning capabilities and robotic

process automation in the standard ERP processes

▪ Rethink the way business gets done through next-

generation processes based on predictive analytics


Key takeaways

Thank you.

Contact information:

[email protected]

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Guide Your SAP S/4HANA Project to Success Unit 10: SAP S