SAP Cloud for customer Integration With S/4HANA on-Premise

Systems Involved

SAP S/4HANA 1909 || SAP Cloud Platform Integration 1911 || SAP Cloud

Connector || SAP Cloud for Customer 2002

Recommended Prerequisites:

S4HANA Version: S/4HANA 1909

Cloud for Customer Version: 2002

Scope of Integration Scenarios:

  • Replicate Materials from S/4HANA to Cloud for Customer
  • Replicate Business Partners from S/4HANA to Cloud for Customer
  • Request External Pricing during from S/4HANA during creation of Quotation/Sales Order in Cloud for Customer
  • Submit for External Document from cloud for customer which, with the expertise of ghostwriting hausarbeit, in turns creates either sales quotation or sales order based on the document type received. Replicate Sales Orders from S/4HANA to Cloud for Customer

Flowchart:

Let’s consider two scenarios from the above in detailed which can be followed to the other scenarios as well.

Scenario I :

  • Replicate Materials from S/4HANA System

Scenario II :

  • Submit for External Document from cloud for customer which, with the assistance of akademische ghostwriter, in turns creates either Sales quotation or sales order based on the document type received

Scenario I : Replicate Materials from S/4HANA System

Source System : SAP S/4 HANA Target System : SAP Cloud for Customer

Step 1: Make sure, Cloud Connector is reachable

Step 2: In Cloud Platform Integration, Identify the right iFlow to deploy

 Login to CPI

 

step 2 first

 Navigate to Artifact => Replicate Material from SAP Business Suite

Step 3: In S/4HANA system, create the outbound configuration from SOAMANAGER for respective SOAP Service

SOAP Service: CO_MDM_PRD_BULK_REPL_REQ_OUT

Step 4: In S/4HANA, make sure your outbound service ping is successful

Step 5: In Cloud for Customer, Create Communication Arrangement for the respective artifact.

Note: If it is for the very first time, maintain communication systems as well

Step 6: In Cloud Platform Integration, deploy the iFlow by maintaining right sender and receiver details

As mentioned in Step 2, for the artifact “Replicate Material from Business Suite,” we need to maintain Sender and Receiver details as shown below in your seminararbeit schreiben lassen

Step 7: Maintain Replication Models Transaction: DRFIMG Refer this link

Step 8: In S/4HANA, Execute Data Replication transaction and pass required Material Numbers that needs to be replicated in S/4 HANA system

Transaction : DRFOUT

Step 9: Once the Material is successfully replicate you will see below Success

Message Success Messages in S/ HANA

Success Message in Cloud Platform Integration ( Overview => Monitor Message Processing )

Success Message in Cloud for Customer ( Administrator => Webservice Monitoring )

Step 10: The Material has been successfully replicated in Cloud for Customer

Scenario II: Submit for External Document from cloud for customer which in turns creates either Sales quotation or sales order based on the document type received

Source System : SAP Cloud for Customer	Target System : SAP S/4 HANA On-Premise

Step 1: Make sure, Cloud Connector is reachable

Step 2: In Cloud Platform Integration, Identify the right iFlows to deploy

  • Login to CPI
  • Navigate to Package => SAP Cloud for Customer Integration with SAP S/4 HANA
  •  Navigate to Artifact => Create Sales quote Follow Up Document in SAP Business Suite

Step 3: In Cloud for Customer, Maintain Code List mapping

Step 4: In Cloud for Customer, Create Communication Arrangement for the respective artifacts

  • Sales Quote Replication to SAP Business Suite.
  • Sales Quote Replication from SAP Business Suite.
  • Pricing in Sales Quote Replication Scenario in SAP Business Suite.
  • Sales Order Replication from SAP Business Suite.
  • Pricing in Sales Quote Follow Up Scenario in SAP Business Suite.
  • Request Sales Document Data from SAP Business Suite.
  • Creation of Sales Quote Follow Up Document in SAP Business Suite.
  • Sample Communication Arrangement for Creation of Sales Quote Follow Up Document in SAP Business Suite: Outbound communication to be maintained here as shown below

Similarly maintain communication arrangement for all above mentioned ( Based on your scenario )

Step 5: In Cloud Platform Integration, deploy the relevant iFlow by maintaining right sender and receiver details

As mentioned in Step 5, For the artifact “Create Sales Quote Follow Up Document in SAP Business Suite” we need to maintain Sender and Receiver details as shown below

Similarly maintain Sender and Receiver details for all other iFlows in CPI.

Step 6: In S/4HANA If the Sender adaptor type is of “IDOC”, need to maintain below configuration Transactions: WE20 & WE21

WE21 : Maintain Port

WE20 : Maintain Partner Profiles

Inbound should be :

SALESORDER_CREATEFROMDAT2 Outbound

should be : COD_REPLICATE_SALES_ORDER

Step 7: In S/4HANA, Check the NACE Configuration for

Sales “V1” Output Type to be configured

Step 8: We are executing below scenario from Cloud for Customer to S/4HANA

Opportunity => Create Sales Quote (C4C)

=> Request External Pricing (From S/4HANA)

=> Price will be replicated successfully in Cloud for Customer

=> Submit for External Document

=> Sales Order is created in S/4HANA

=> Above created Sales Order is replicated in Cloud for Customer

Opportunity => Create Sales Quote (C4C)

In Cloud for Customer, Enter Document Type

In Cloud for Customer, Request External Pricing

In CPI, respective iFlow is deployed successfully

In Cloud for Customer, Submit for External Document

Replicated Price Screenshot

In CPI, respective iFlow is deployed successfully

Sales Order “195” is successfully created in S/4HANA

Sales Order “195” is successfully replicated, screenshot from Cloud for Customer

Step 9 : Once the IDOC is successfully processed for both Inbound and

Outbound Transaction: WE05

How do Open-Source Technologies like Python enable AI/ML Requests?

Python is one of the most popular programming languages used by developers today owing to its rich set of libraries that can be exploited for different phases of AI/ML projects such as data exploration, engineering, model creation, and testing amongst others.

As depicted in the diagram below, Python is useful in extracting or consolidating data from multiple data sources or disparate data silos. At the same time, it can handle different kinds of data such as structured, unstructured, and semi-structured. In addition, Python provides the flexibility to apply the right algorithms to address requirements from areas like Regression, Classification, Sentiment Analysis, Natural Language Processing (NLP), and Image Analysis. These capabilities make Python a sought-after tool to handle requirements from AI/ML areas

Some of the key features of Python from the AI/ML standpoint are

  1. Intuitive and readable code
  2. Rich library ecosystem
  3. Great Community and popularity
  4. Platform Independence

To get a much deeper understanding of the potential of Python, let’s study an organizational use case:
Efficient human capital management is indispensable, and organizations strive to retain the right talent and reduce attrition and hiring costs. This presents us with a data science problem statement — “What is the likelihood of a high performing employee leaving the organization?“. Resolving this problem helps organizations eliminate the premature exit of employees.

This problem can be categorized under Supervised Classification. The subsequent action should be to consolidate all necessary data points from a variety of data sources. Pandas library in Python is a great tool for this purpose and Python’s data frames can be leveraged for data engineering and cleansing work. At the end of the Data Exploratory Analysis process, we can obtain the correlation among different variables. We can also plot features by their importance for predicting attrition.

Python’s machine learning libraries can then be used to predict the likelihood of the exit of a particular employee. We can also make use of the confusion matrix to evaluate the accuracy of the model and further optimize the accuracy of the ML model by using different machine learning methods

Integrating AI/ML features into SAP

Organizations fall short in seamlessly integrating their AI/ML use cases to the IT landscape. One of the reasons for this failure is the lack of compatibility with existing ERP & analytics solutions.

SAP bridges this gap with SAP Data Intelligence, a unified data management solution that supports AI operations and the data orchestration layer of the SAP business technology platform. SAP Data Intelligence facilitates access to structured, unstructured, and streaming data sources from the cloud, IoT, SAP applications, as well as third-party applications. SAP Data Intelligence also allows organizations to build high-quality production-grade AI / ML solutions and integrate them with other solutions. With Data Intelligence, organizations can consolidate data from disparate systems, apply AI/ML algorithms using open source technologies and output the data/findings to multiple downstream systems

SAP Data Intelligence allows users to generate machine learning models directly within the service or integrate existing models. SAP Data Intelligence also integrates with popular open-source tools like Jupyter Notebooks, R, and Python. The Automated Machine Learning (AutoML) feature on the platform allows data scientists to train and run models with minimal manual intervention, thus making data science work more efficient. AutoML also creates data science pipelines automatically, with templated configurations and workflow automation.

SAP also houses a range of AI applications and services that can be easily integrated into the existing SAP ecosystem. SAP AI Business Services is a unified solution that offers multiple applications and services based on machine learning (ML) and AI. It is designed for citizen data scientists to leverage ML services without prerequisite knowledge of data science. SAP AI Business Services offers common ML and AI capabilities, which can be used across multiple processes by using simple APIs that are readily available for inference and training.

The predictive Scenarios feature in SAP Analytics Cloud is considered to offer a quick start for an organization’s AI/ML Journey. Using this feature enterprises can create Machine learning models in areas of Regression, Classification, and Time-series without prerequisites in data science. Machine learning models can be churned with ease and at pace using Predictive Scenarios. Most importantly this feature has a commendable predictive power and prediction confidence and critical influencers or variables for the model can be identified. The following figure shows the critical influencers in a customer churn machine learning model for telecom industry data.

Important metrics related to a classification model can also be analyzed easily using Predictive Scenarios

Given below is an output from the employee churn prediction model. As you can see SAC model prediction is very close to the actual numbers

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Rony John

Chief Executive Officer

Rony-John-scaled

Rony John

Chief Executive Officer

Rony-John-scaled

With over 20 years of rich and diverse experience in SAP, Rony John is leading the team at Blueprint in helping customers recognize the benefits of the ERP Solutions and providing sound design and integration approaches to successfully implement their SAP and ERP environments. Adept at bringing real-world expertise and solution design to the forefront, Rony has successfully helped many organizations, both big and small in actualizing their goals.

Rony owns an innate ability to decode customer needs and his in-depth knowledge about SAP and Kronos products sets him apart from the rest. Prior to leading Blueprint, Rony had donned diverse roles for some of the best software giants including Convergent, Autodesk, SAP GDC,Mindtree very strong technical grounding by way of involvement in Product and Global delivery.

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Rony John

Chief Executive Officer

Rony-John-scaled

Rony John

Chief Executive Officer

Rony-John-scaled

With over 20 years of rich and diverse experience in SAP, Rony John is leading the team at Blueprint in helping customers recognize the benefits of the ERP Solutions and providing sound design and integration approaches to successfully implement their SAP and ERP environments. Adept at bringing real-world expertise and solution design to the forefront, Rony has successfully helped many organizations, both big and small in actualizing their goals.

Rony owns an innate ability to decode customer needs and his in-depth knowledge about SAP and Kronos products sets him apart from the rest. Prior to leading Blueprint, Rony had donned diverse roles for some of the best software giants including Convergent, Autodesk, SAP GDC,Mindtree very strong technical grounding by way of involvement in Product and Global delivery.

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A New Chapter for Lion Brewery (Ceylon) PLC: HR Innovation through SAP SuccessFactors

Lion Brewery (Ceylon) PLC embarks on a pivotal journey in workforce transformation by partnering with Blueprint Technologies to implement SAP SuccessFactors. This strategic move promises to streamline HR processes and uplift the employee experience, cultivating a vibrant, efficient workforce ready for tomorrow’s challenges.

We’re thrilled about the transformative possibilities and look forward to seeing Lion Brewery elevate its employee experience and achieve workforce excellence.

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Prathiba Anandraj exemplifies Blueprint Technologies' unique approach to customer experience transformations.

In an interview with Dataquest, Prathiba Anandraj, SAP CX Practice Lead at Blueprint Technologies, emphasized the company’s unique approach to customer experience transformations. She highlighted Blueprint Technologies strategic partnership with SAP, which involves the use of cutting-edge cloud technologies. She spoke about changing customer expectations, emphasizing the need for personalization and seamless experiences. Pratibha explained Blueprint’s approach to CX transformation, focusing on personalized solutions. She also explained how Blueprint Technologies has helped organizations thrive in their customer experience transformations with SAP CX.

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⁠Blueprint Technologies co-hosted the CX Roundtable event in Gurgaon with the SAP CX Team and Dataquest.

Our esteemed speakers, delegates, and moderator shared their insights on CX trends and AI and ML in customer experience management, making the event the most engaging and informative. At the conference, we looked into several areas of the customer experience and new ways to improve customer satisfaction and retention. The exceptional attitude of teamwork and generosity among guests shows how well their commitment to exceptional customer experiences matches our company’s beliefs and goals.

We acknowledge our speakers, attendees, SAP CX, and Dataquest teams for their enthusiastic involvement in the “Future-Proofing CX Strategies: Connecting with Customers in the Digital Age for Business” roundtable discussion on September 15, 2023, in Gurgaon.

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Blueprint Technologies co-hosted the "CFO Playbook 2023" in Mumbai with the SAP Concur Team and Netnex.

At Mumbai’s Taj Lands End hotel, the second edition of the “CFO Playbook 2023” roundtable conference featured invaluable networking and knowledge-sharing sessions. We discussed how SAP can help your accounts payable team succeed and become a strategic driver of development, efficiency, compliance, and sustainability throughout the conference.

We appreciate our speakers, attendees, SAP Concur, and NetNex teams for their support and participation in the “CFO Playbook 2023” roundtable session in Mumbai on September 13, 2023.

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Blueprint Technologies co-hosted the "CFO Playbook 2023" in Pune with the SAP Concur Team and Netnex.

Our renowned speakers at the “CFO Playbook 2023” roundtable conference at the JW Marriott hotel in Pune delivered the best networking and knowledge-sharing sessions on September 5, 2023. We addressed how SAP can help your accounts payable workforce succeed and become a strategic driver of development, efficiency, compliance, and sustainability throughout the conference.

We appreciate our speakers, attendees, SAP Concur, and NetNex teams for their support and involvement at the “CFO Playbook 2023” roundtable meeting in Pune on September 5, 2023.

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Blueprint Technologies co-hosted the SAP Innovation Tour for CX in Mumbai with the SAP CX Team and Dataquest.

Our esteemed speakers, delegates, and moderator discussed evolving CX trends and the emergence of AI and ML in customer experience management, making it the most educational and remarkable event.We appreciate our Speakers, Participants, the SAP CX team, and the Dataquest Team for their support and active involvement in the “Unleashing Innovation: Accelerating Customer Experiences for Businesses” roundtable conference in Mumbai on July 21, 2023.

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Blueprint Technologies was one of the official silver sponsors at the SAP Spend Connect Forum India event

We witnessed the most extraordinary events at the SAP Spend Connect Forum India, which took place at the Taj Palace in Delhi on July 19, 2023, and the Shangri-La in Bengaluru on July 21, 2023, including outstanding networking and knowledge-sharing sessions by SAP and customer speakers.

Furthermore, we appreciate everyone who visited our booth. We appreciate your time and interest in our services. It was remarkable to meet and communicate with so many individuals who share our enthusiasm for facilitating digital transformation through the adoption of SAP Cloud solutions.

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