sap intelligent finance cash application...finance in sap s/4hana –delivers functional...
TRANSCRIPT
SAP Intelligent Finance – Cash Application 20NOV18
Les Smith – Finance and Risk Solution Lead (ANZ)Centre of Excellence - SAP
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Journey to smart automation in SAP S/4HANA Finance
Finance
Robotics Process
Automation
eCommerce
IoT
Business
Network
Digital
Collaboration
Machine
LearningEngines
Accurate
digital data
SAP S/4HANA Finance – The Digital Core
as foundation for digital automation
Robotics Process Automation
helps to run repetitive,
rule-based monotone tasks
and bridges temporary gaps
Machine Learning identifies
hidden patterns in knowledge
intensive processes and
executes processing
Engines loaded with pre-
defined high specific process
knowledge enables rule-based
automation
Accurate digital data reduces
reconciliations and enables
higher degree of automated
processing from end to end
CUSTOMER
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A comprehensive portfolio for the CFOCovering all business areas across all roles
Finance in SAP S/4HANA – delivers functional completeness across all financial roles Chief Financial Officer
VP of FinanceHead of Corporate
ReportingCorporate Treasurer
Head of Finance
Operations
Chief Compliance
Officer
Financial Planning and Analysis
Accounting and
Financial Close
Treasury and Financial
Risk ManagementFinance Operations
Enterprise Risk and
Compliance Management
Strategy Development
and Translation Accounting
Payments and Bank
CommunicationsReceivables Management
Enterprise Risk
Management
Planning, Budgeting,
and ForecastingEntity Close
Cash and Liquidity
ManagementInvoice Management
Controls and Compliance
Management
Profitability and Cost
ManagementCorporate Close
Debt and Investment
ManagementTravel Management
International Trade
Management
Monitoring and Reporting Reporting and Disclosure Financial Risk Management Real Estate Management Fraud Management
Financial Close
Governance
Commodity Risk
ManagementFinancial Shared Services Audit Management
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AR Accountant
Joanne
Lump sum
Missing info
Discounts
Exchange
Customer call
?
Incoming Payments
ERP statement generation
& clearing
Cumbersome & time-
consuming manual processing
Customer payments for
invoices
ERP
Manual processing: clarification, matching and
posting
Result
Example in Figures
100 payments received
from customers
30 payments posted by system (full
match of amount, invoice no., name)
70 payments to be
cleared manually Automation rate: 30%
Manual rate: 70%100% 30% 70%
Time Intensive Tasks in Accounts Receivables
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SAP Cash ApplicationIntelligent receivables automation powered by SAP Leonardo Machine Learning
History
Payments
Invoices
Payment Advices
Matching proposals &
automated payment
clearing
Improves days sales
outstanding
Allows shared services
to scale as the
business grows
Seamlessly integrated
with SAP S/4HANA
Drastically reduce
manual effort, focus on
strategic tasks and
service quality
SAP Cash Application intelligently learns matching criteria from
your history, reads and processes payment advice documents,
and automatically clears payments with minimal intervention.
SAP LeonardoMachine Learning
CUSTOMER
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SAP Cash Application
Line Item Clearing
Posting on Account
Payment Advice Extraction
SAP Cloud Platform
SAP Leonardo Machine Learning
Solution OverviewEnd-to-end process automation with SAP Leonardo Machine Learning
Bank
StatementsLockbox*
EDI PDF Scanned
Documents
Payment Advices
Payments
Cloud On-prem
Intelligent automation:
CUSTOMER *S4HC 1805
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IntegrationSAP Cash Application Supported ERP Landscapes
ECC 6.0
SAP Cash Application
SAP Cloud Platform
SAP Leonardo ML Foundation
On-Premise
1709
Public Cloud
1802
On-Premise
EHP7+
CUSTOMER
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Open bank statement
items plus receivables
Matching proposals
Matches autocleared,
proposals viewed over
SAP Fiori apps
Training
process
Inference
and
clearing
Processa conclusion reached
on the basis of
evidence and
reasoning
Receivables Line Item MatchingTraining & Inference Process Overview
Run invoice-matching
service
Machine-learning trainingHistorical clearing documents
ECC 6.0SAP Cash Application
CUSTOMER
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Payment Advice ExtractionAutomated payment advice processing seamlessly integrated with SAP Cash Application
Drastically lower manual efforts by automatically extracting remittance information
from unstructured advices (email, PDF, paper, etc.) to enhance payment matching
Payments
Invoices
Automatic clearing
Exception
handling
Intelligent
MatchingComputer vision +
machine learning
CUSTOMER
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SAP Cash ApplicationMachine Learning Pipeline Overview
Account
Identification
Payment to Receivable
Advance Payment
GL Account
GL Account
Advance Payment
Payment to Payable
Bank Statement
Import
Lockbox ImportQ2
Incoming
Payment
Outgoing
PaymentQ3
Customer
account posting
Vendor account
posting
Paid against
single invoice
Paid against
multiple invoices
Multiple payments
single invoice
Payment Advice
Extraction
Line Item
Matching
Payment
ClassificationQ4
Scan EDIPDF
Email**
GL account
postingQ4
CUSTOMER *This is the current state of planning and may be changed by SAP at any time without notice.
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1Process Bank StatementsElectronic FF_5 or manual FF67
2Execute Standard S/4HANA Clearing Rules
3
Scheduled SAP Cash Application Job
New bank statements and open receivables sent to SAP Cash Application service
4
SAP Cash Application Machine Learning Inference
Proposals returned to S/4HANA
5
Automatic Clearing
Proposals satisfying confidence threshold are automatically cleared
6
Reprocess Bank Statement Items
Equivalent to FEBA / FEBAN
SAP Cash ApplicationLine Item Matching Process Overview
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Next-generation intelligent invoice-matching powered by machine-learningHow SAP Cash Application helps various sides of the business
CFO and COO
▪ Improve days sales outstanding (DSO) key performance indicator (KPI)
▪ Adopt machine-learning –innovation
▪ Reduce the cost of finance
AR Manager
▪ Minimize manual exception-
handling to reduce costs and
refocus your experts on high-
value tasks
Head of Shared Services
▪ Enhance team efficiency
▪ Scale self-services with
increasing customer volume
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What SAP Cash Application can do for your businessAutomation enables scale
Automation
Increase efficiency and
reduce errors in the
finance department.
Enable finance to focus on
strategic tasks.
Reduced TCO
Learn from accountant
behavior and start work
immediately. Continually
adapt without on-going
maintenance.
Speed
Process incoming
payments faster to reduce
DSO, increase liquidity,
and improve customer
service.
Integration with
SAP S/4HANA
Leverage tight integration
with the SAP S/4HANA
Cloud suite and on-
premise solutions – to
complement standard
rules, extract value from
historical data, and
maintain your current
processing workflow.
CUSTOMER
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SAP Cash Application Business Case
Showcases the value using SAP Cash Application solution to
automatically match large number of payments against open invoices by
intelligently learning matching criteria from customer's historical data
Major Pain Points highlighted in the business case
• Inability to support the meteoric growth in payments without
increasing AR team size
• Significant manual and error prone effort required to process
payments
• High costs for implementing, maintaining and updating tailored rules
for matching payments against open receivables
• Uncleared invoices resulting in credit block situations
Major benefits covered in the business case
• Increase in account receivable FTE productivity
• Reduction in days sales outstanding
• Reduction in overdue account receivables
• Reduction in uncollectible accounts receivables write offs (bad debts)
Log into to VLM to access the business caseLink: SAP Leonardo Pre-configured Business Cases JAM Page
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Access the Pre-configured Business Case
1) Login Value Lifecycle Manager (VLM). Access VLM New User
Registrtation Guide.
2) Create a project and provide customer details
3) Go to 'Add to your Project', select Business Case.
4) Select 'Add from Business Case Catalog' on the pop up
5) In the catalog, select ‘Leonardo’ category and select the
business case
6) Mark BC is marked as ‘Actual’ if you are using customer data
7) Click on the BC Name to access the content
8) Collaborate the project with the customer after completing the
analysis
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3
4
5
6 6
7
How To Access Machine Learning Business Case in VLM
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Short Video
Demo
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Brand visibility measurement as of today
▪ Unreliable measurements
▪ Time-consuming analysis
▪ Limited media coverage
Not addressing
all questions
How will new technologies
influence sponsoring?
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SAP Brand Impact
Automatically analyzes brand exposure in videos and images by leveraging advanced
computer vision techniques. The application helps media agencies, broadcasters, and
brands gain accurate, timely insights into sponsoring and advertising ROI.
FastNear real-time speed
TransparentInteractive interface
Accurate and scalableTo millions of hours
FlexibleCost structure
First-class
customer experience
Easy integration with
analytics software
Introduction of new
business models
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SAP uses SAP Leonardo Machine Learning Service Ticketing solution to
simplify and speed up the processing of IT-tickets
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Broken
product
similarity
search use
case demo
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The combination of Functional ServicesBroken product similarity search use case
Images DBImage Feature
Extraction ServiceVectors DB
Image Feature
Extraction ServiceSimilarity Scoring
Result
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Take a look at
www.sap.com/finance
SAP Leonardo Machine Learning
www.sap.com/ml
More information – SAP S/4HANA Finance
Questions?
Contact information:
Les Smith
Solution Lead
Centre of Excellence
SAP Australia and New Zealand
0407635724
Thank you.