Accelerate Receivables Collection with Intelligent Visualizations

1The information contained in this document is proprietary. Copyright © 2017 Capgemini. All rights reserved.
Accelerate Receivables Collection with Intelligent Visualizations
Accelerate Receivables Collection
with Intelligent Visualizations
Arpan K Chowdhury| Partner Co-Innovation PC214|
Wednesday, May 17, 05:30 PM-05:50 PM

Models
Background
Addressing the problem of reducing outstanding
receivables through improvement of collections strategy.
Supervised Learning Predicting the Payment Outcomes
Customized Collection actions
tailored for each invoice of
customers

The Science Behind
Days Sales Outstanding
AR * Number of Time Period
Total Credit Sales
On-Time, 1-30,
31-60, 61-90, 90+
Each class has customized
collection strategy
Collection Effectiveness Index:
(Begin Receivable + Credit Sales – End Total Receivables) * 100
Begin Receivable + Credit Sales – End Current Receivables
Invoices will be labeled on the actual amounts
collected in specific time period
First-Time Customer
Repeat Customer
Payment Behavior is different
Invoice Amount
Payment Terms
Invoice Category
Transaction History @ Customer
Reflection of current state (total)
Pending Orders

The sign of 18
Invoice Amounts Payment Terms Category
Number of Total Paid
Invoices
Number of Late
Invoices
% of paid invoices
which were late
total paid invoices –
base amount
total paid invoices
(late) – base amount
% calculation of last 2
amounts
Avg. days of late paid
invoices
Total Outstanding
invoices #
# of Outstanding
invoices that are
already late
amounts
Total Outstanding
invoices Amount
Total Outstanding late
invoices Amount
amounts
Avg. days of late
outstanding invoices
Periodicity

Cash Collection
Optimization
Cloud based Analytics solution, interfacing data from SAP-Accounts Receivable,
Financial Supply Chain Management domains and social feeds.
Leveraging real-time analytics, detailed historical input to predict outcomes, Cash
Collection Specialist Analysis and provide insights-to-action capabilities

Solution Architecture
SAP Business Objects Cloud based solution, leveraging 3
capabilities. Real-time data feed from SAP AR and SAP FSCM
solution. Choice of pre-loading the data or schedule it.
Business Intelligence
Planning
Predictive Modeling

FEATURES
In-built predictive model, help you understand
information correlation and guide you to your first step
Machine Driven Suggestion
Can be accessed from anywhere, built on HANA
Cloud Platform. Mobile, portable solution
Cloud Based
Planning option for Cash collection manager,
leveraging large historical data set
Planning Capability based on historical data set
Persona based highly interactive visualizations,
merging SAP data with your planned analysis.
End-to-end Analytics Solution, Insights-to-Action capabilities

Tool Demonstration
Cash - Boardroom

Get Connected
/in/arpankchowdhury/
arpan.k.chowdhury
@arpankc
www.capgemini.com
4000 Shoreline Ct #210,
South San Francisco, CA 94080, USA
arpan.chowdhury@capgemini.com
+1-9255491186
Headquarter
11 rue de Tilsitt
75 017 Paris
EUROPE OFFICE
Rua Buenos Aires, 15 – 3º ao 6º,
Centro - Rio de Janeiro – RJ, CEP
20070-021
SOUTH AMERICA OFFICE
623 Fifth Avenue, 33rd Floor
New York, NY 10022
UNITED STATES OFFICE

The information contained in this presentation is proprietary. © 2017 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini.
www.capgemini.com
About Capgemini
With more than 190,000 people, Capgemini is present in over 40
countries and celebrates its 50th Anniversary year in 2017. A global
leader in consulting, technology and outsourcing services, the Group
reported 2016 global revenues of EUR 12.5 billion. Together with its
clients, Capgemini creates and delivers business, technology and digital
solutions that fit their needs, enabling them to achieve innovation and
competitiveness. A deeply multicultural organization, Capgemini has
developed its own way of working, the Collaborative Business
Experience™, and draws on Rightshore®, its worldwide delivery model.

Accelerate Receivables Collection with Intelligent Visualizations

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