SAP S/4HANA –
Intelligent Order Creation
2
Solution Overview
2
The sales order creation process in today’s industry is a tedious, cumbersome, and slow manual process. It is prone to errors and
delays, and with a sheer number of orders there are, the cost becomes very high. CPG industry is under tremendous pressure
from price competition and operating margins. Cutting down operating costs is the need of the hour. Non-EDI orders that
constitute about 30% of total orders add substantially to the order management cost. Microsoft Azure AI-based Document
Extraction service “Form Recognizer” provides us the ability to extract information from incoming documents, apply advanced
machine learning algorithms to it and present data in the form of key-value pairs and even help extract tables. A persona-based
rich user experience built on Business Technology Platform using SAPUI5 provides decision support to the user to take the best
possible action and create the sales orders in the system.
Reduced
cost
Reduced
errors
Less
disruptions
Real-time
Highly
scalable
RPA-based
Persona-
based front
end
Reporting
dashboard
Manual Order Creation and its Challenges
3
Slow
Costly
Cumbersome
Erroneous
Non scalable
Validate
correctness
Verify
completeness
Manual data
entry
Receive order in
emails
Infosys Vision of an Intelligent order creation
4
Document
Classification
Read document Data extraction
Automatic post to SAP
User
approval
User verificationCreated order
Emails with
attachment
Post details to SAP
Infosys Intelligent Order Creation Process Overview
5
Business challenges
• High cost and operating margins
• Creating sales order is a tedious manual process
• Error prone and time consuming process
Solution overview
• Using cognitive services, match the incoming order to
relevant templates or create new templates
• Using deep learning algorithms-based Azure Form
Recognizer, ‘read’ incoming document data
• One time mapping of the template to SAP objects at field
level
• Using either manual validation or auto approval, post the
order in SAP S/4HANA
Reduced
cost
Reduced
errors
Less
disruptions
Real-time
Highly
scalable
RPA-based
Uses AI/ML
Persona-
based front
end
Reporting
dashboard
Azure Cloud
Intelligent Order Creation – High-level Architecture
6
SAP Cloud Platform
Persona-based User
Interface
Firewall
Cloud
connector
Secure tunnel
Validate
Post to SAP
Create New
Models
Integration
Services
Reporting
CognitiveRPA
SAPUI5 Node.js Connectivity
Logic AppAZ Functions
Sales &
Distribution
SAP Gateway*
ML - Custom Vision
Azure
Form Recognizer
Train / Retrain
Model(s)
Analyze and
Extract
Document
Pooling
Cosmos DB
Doc
Source
Scan
Doc
Email
Document
Classification and
Categorization
Template
Identification
Automatic Post to SAP
Feed to User Interface on SCP
Solution Components Specifications
• Cosmos DB
• Blob storage
Cloud
Infrastructure
• Azure Form
Recognizer
• Azure functions
• Azure Logic apps
• Node API call(SAP
Cloud Foundry)
• Azure Custom Vision
Cloud Business
Services
10
• SAP Cloud Foundry
• UI5
• oData
• Node.js
• Business Technology
Platform
• SAP S/4HANA
• SAP Cloud connector
SAP Components
and Integrations
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