The document discusses introducing ScoreMe, a digital lending and monitoring platform. It notes the need for automation in credit screening and decision making using data analytics. This would help boost turnaround times and reduce operational and fraud risks. ScoreMe offers various solutions like bank statement analysis, GST analysis, and integrated analysis to help with credit screening. It has over 200 clients in the BFSI sector and aims to help expand financing for SMEs and consumers through innovative digital models like lending-as-a-service and co-lending. The platform also focuses on financial inclusion through customized solutions for cooperative banks, MFIs and government schemes targeting marginalized groups.
3. The Problem Statement:
Lack of Automation in Financial and Non
Financial Parameters for screening.
FinTech
LendingTech- Credit & Monitoring.
WealthTech
Digital Payment
InsuranceTech
Boost in Turn Around Time ( TAT) is Required.
Elimination of Operational & Fraud risk via removal of human checks.
Custom built scorecard for efficient decision making.
Data analytics to cull out data points , measuring viz existing portfolio
behavior.
Analysis for Identification of NPA and Watchlist cases.
SME
Financing
in itself is
$230 Bn+
Story.
Inhibitors:
Auditing of Alternative Risk Models.
Challenges from Big Players like Google,
Amazon etc.
Impact of Covid-19.
Loan Stacking & Poor Due Diligence.
Drivers:
Shift in Consumer Behaviour.
Innovative Operative Models.
Lending as a Service.
Co-Lending Models.
The Need to go
Digital:
Credit Gap of $500 Billion for Consumer
& SME Financing*
*Medici India Fintech Report 2020 3
4. Corporate Overview Why Us?
15+ years of Financial Advisory Experience for BFSI Sector.
100+ Digital
Champions
Scalable &
Sustainable Digital
Solutions
With On- premises
Installation &
Api Integration
Registered with DIPP
as Start Up.
Ref No. DIPP2658
200+ clients in the BFSI space spread across the Country.
Locations:
4
6+ products in 3 Years.
5. The
Solutions:
Bank Statement Analysis.
Comprehensive Analysis for Retail & Corporate Accounts.
GSTR Analysis.
Auto Fetch for GSTR 1, 2A & 3B along with Analysis.
Financial Statement Analysis.
Data fetch from MCA + Legal+ Default List.
ITR Analysis & Form 26AS:
System Driven Analysis for ITR 1-7, Consent Based Fetch for Form 26AS.
KYCs.
Aggregation of >25 Govt Repositories for Instant Validation such as
Identity Verification, Registration, Professional Qualifications etc.
Legal Data Analysis:
Fetch Legal records for companies/individuals from 6 different sources
including Supreme Court, High Courts, E-Courts, Tribunals etc.
Integrated Analysis Solution:
A customized combination of all the above reports as per the credit
policies of the lender, helps in complete automation of credit screening.
Request
Authentication
Data Fetch
Structuring
Analysis
Reporting
5
6. Offerings- Existing Customer Base:
Providing Digital Solutions for vast customer base by building System Driven Analytics on the Existing Data.
6
7. Offers for Retail
Customers:
POS Based Lending
Lending as a service can be enabled by running In-House Analytics on
the existing customer to create multiple profiles.
Salary Advance Loans
Analysis of Salary patterns & Employer details to offer short-term top
up loans.
Better offers to customers with better Profile
Categorization of customers basis on the credit profile to provide better
services & offers.
Approved Offers basis Buying & Purchase Trends.
7
9. The Idea behind SAMPAN
(सम्पन्न)
MSME customer shares PAN
information with bank OR bank
uses PAN information already
available.
Bank needs to analyse trends
around management risk,
financial risk, business risk and
legal risk.
ScoreMe proposes the unique
SAMPAN (सम्पन्न) methodology
which will auto-fetch and
analyse customer information
from public sources using PAN
helping generate deeper insight
– thereby reducing risk,
enhancing transparency and
improving operational efficiency.
9
10. 10
Input>>ScoreCard>>Decision – How SAMPAN (सम्पन्न) helps?
Data
Source
-
PAN Consent
ITR
GST Detailed
Udyam
Registration
Bank Statements
Non-Consent
GST Basic
Legal
EPFO
MCA/ CIC
Risk
Financial Risk Management Risk
Legal Risk Business Risk
SAMPAN (सम्पन्न) takes as input PAN and customer consent/ non-consent and uses public sources
to generate risk scorecard.
11. 11
ITR Legal Data
GST Data Fetch MCA, EPFO etc.
Elements of SAMPAN - सम्पन्न :
PROPRIETARY ALGORITHM BASED CUSTOMER EVALUATION
Tax payee
Identification & Nature
of Business
Balance Sheet, P&L and
Ratios such as
Liquidity, Solvency,
Profitability and
Efficiency
Tax Calculation &
Liability
Gross Sale – Purchase
Customer Supplier Summary
Monthly Sale Purchase
GST Compliance Score.
Business Activity
Change in Address, Legal Name
GSTN- Active vs Inactive
Balance Sheet, P&L
Auditors Report
Related Party Transactions
EPFO Payment dates.
Net Employees.
Attrition Rate.
Business Registration
document check.
Legal Data fetch from >6 sources-
Supreme Court, High Court, E-Court,
Consumer Court, Tribunals, IBC etc.
Case analysis basis appeal type- As
Petitioner or Respondent.
Case decision analysis- Pending or
Disposed.
Critical sections under which cases
are filed.
12. SAMPAN - सम्पन्न :
Simplified Lending & Monitoring
12
SAMPAN
Easy Auto
Renewals
Monitoring
of Existing
Accounts
Automation
of Credit
Policy
Working
Capital
Lending
13. Use Case- Auto Renewal for CC Accounts:
Without asking Balance Sheet & Profit & Loss Statements or other documents from
the customer.
Identification of
Accounts due for
Renewal in any
specific month.
Bank Statement Data
Fetch from CBS,
different parameters
are analyzed.
Other details are
fetched from MCA,
EPFO, GST Compliance
Score etc.
Analysis of Data &
mapping to the BRE
for Eligibility Check &
data flow to LMS.
Customer Consent via
Email/OTP.
Post customer consent
Branch Manager to
Complete the Auto
Renewal in the LMS.
13
15. Use Case: Top up on Existing Loans
Customer PAN details &
Consent via OTP.
Customer gets a link with
GST information filled. He
enters the Username &
Validates the OTP.
Bank Statement Data is
fetched from the CBS and
analyzed.
Customer answers pre-
defined questions as per
the internal credit policy.
Mapping of GSTR Analysis,
EPFO data, Legal Data &
MCA Data in SAMPAN will
generate the score and
send notifications to User
& the Branch.
Credit worthiness will be
established & branch will
be able to generate
Sanction letter.
15
16. 16
STP Journeys for Different Products:
Upgrading Existing Online Applications with In-Depth Analysis of different financial documents to add
a layer of In-Principle Sanction.
17. Area of Expertise Use Cases:
Creation of Mobile/Web Journeys for On-Boarding of Customers for
different products.
Launch of New Products of the Bank using Digital Applications.
Customized Journey for Customer On-Boarding, option to
Fetch/Upload Documents required for Appraisal.
Real time update of any new Loan Products/Offers.
The Solution
17
Digital On-Boarding/ Lending Platforms
• Suitable for all kinds of products for MSME & Mid-Corporate
customers.
• End-to-End integration with the Bank’s system.
• Lead Capturing module with document submission.
• Online evaluation of the customer using KYCs and document
analysis applicable for different products.
• Real time sync of application with internal systems.
• Integration of Account Aggregation ecosystem.
• Lending as a service can be picked up.
STP Journey for Retail
& MSME Loans.
STP Journey for Retail
& MSME Loans.
Lead Capturing
application.
Online Journey for SIDBI
Products.
Analysis application
along with integration
with LMS.
Online application for
Lead Capturing and
analysis for MSME
Loans and Supply Chain
Finance.
19. Area of Expertise Use Cases:
Delivering customized solutions to 10+ Co-operative banks & micro
finance institutions focusing on small ticket size customers, agri-
lending, Affordable Housing Finance, Start Up schemes etc.
Integration of KYCs with tabs/ mobile application for instant
customer on-boarding.
Alternate data analysis & public domain search for micro
enterprises.
Specialized platform for attracting OBC/SC/ST for government
schemes.
The Solution
19
Co-Lending Platform:
• Three-dimensional platform for the bank for seamless
integration with multiple NBFCs.
• Will help the bank to reach out to Tier 2,3 and rural
customers with the help of NBFC tie ups.
• Operational process and risk can be shared with the NBFCs.
Partnership and integration with NBFCs for FLDG model.
Introduction of BC model for Un-Secured lending, Account
Opening etc.
Data Aggregation
services and UI for
screening of customers.
Data Aggregation
services.
Development of custom
products for rural
population.
Online Journey for SIDBI
Products.
Analysis application along
with integration with LMS.
KYCs & Data
Aggregation.
KYCs & Data
Aggregation
services.
21. The Need for Digital Lending Platform:
Scope Challenges Opportunities
On-Boarding SME Customers
require
elaborate
paperwork for
On-Boarding.
Customer
journeys are
now Phygital and
require
less/minimum
paperwork.
Data Footprint &
Credit
Underwriting
Historical/
bureau data is
the biggest
hurdle to On-
Board SMEs.
Auto Fetch from
MCA, ITR, GST,
KYCs, Social
Media, Legal
Data have made
it possible to
evaluate basis
Score Cards.
Collection No Solution Development
have started.
21
No Credit History is No more a Problem.
Account Aggregation change the ecosystem.
OCEN/Cash Flow Based Lending is picking up.
Lending-as-a-Service is picking up.
Co-Lending Model.
POS Based Lending.
Online Commerce Based Lending.
Buy-now-Pay-Later.
22. Public Domain/ Customer Data via Mobile App, Web
Application etc. The Front-End Module.
Data Analysis via Scoreme APIs.
Integrated Analysis Report.
Integration with LMS & other
back-end applications for
Score Calculation.
Customer
Acceptance.
Loan
Processed.
Consent Based
Architecture for
Data Pull.
BSA, GSTR,
ITR,FSA, LDA,
KYCs.
Tailor made
report basis
Credit Policy.
Existing
Integration
with 12 LMS.
E-Signing &
Acceptance
via OTP.
Disbursement
Done.
Personal
Loans.
Education
Loans
Housing
Loans.
LAP
Business
Loans.
Other
MSME
Loans.
Vehicle
Loans.
A Single Platform spanning across multiple product lines and diverse digital offerings.
Digital Lending Platform- A One Stop Solution for Online Lending.
22
23. Co-Lending
Platform for
Financial
Inclusion
Customer On-Boarding by NBFC:
Integration with Mobile App, Web Application.
Manual Addition for Branch Proposals.
Credit Module:
KYCs & Financial Analysis for CAM Preparation, approval for Loan
Amount, tenure, Selection of NBFC, Approval/Pendency, Rejection.
RCU Module:
Document Verification by APIs/Manual, Risk Alert Check from
different documents.
Operations Module:
Documentation & agreement creation along with E-Nach & E-
Signing.
Account Module:
Banking details, final loan amount checking, repayment schedule,
Loan Escrow Mechanism, Fund Transfer from Bank & NBFC,
Disbursement in the borrower’s account.
Collections Module:
Due dates, Comments from agent, Bucket List, Upcoming Due
Dates, Forward to Legal etc.
Legal Module:
Send Legal Notice, Auto-Generation of Notice, SMS & Email alerts
to the customer. 23
25. The Idea behind SPASHT -
SPotlight and AnalysiS of
Historical Trends
Banks have existing customer
information such as bank
statements & KYC – Various
public sources of information
such as GST, Credit Rating, Legal
Information, EPFO also exist.
Bank needs to analyse trends
around management risk,
financial risk, business risk and
legal risk.
ScoreMe proposes the unique
SPASHT methodology which will
analyse customer historical data
available with bank and combine
it with public sources helping
generate deeper insight –
thereby reducing risk, enhancing
transparency and improving
operational efficiency.
25
26. Area of Expertise No. of Parameters from each Source:
Coverage across 7 different products for real time early warning
signal analysis of the customers using in-house data.
>166 parameters for Alert generation.
Customized modelling for different types of borrowers to set the
rule engine.
The Solution
26
Product/Source Consent Required
Bank Statement Analysis No
GSTR Analysis Yes
Financial Statement Analysis/MCA No
Income Tax Return Analysis No
Form 26AS Yes
Legal Data Analysis No
KYCs No
Product/Source Count of Parameters
BSA 47
GST 28
MCA 16
ITR 45
Form 26AS 0
KYC 3
Legal 13
BSA + GST 3
ITR + MCA 5
KYC + MCA 1
BSA + GST + Form 26AS 2
BSA + ITR + Form 26AS 1
GST + ITR + MCA 1
BSA + GST + Form 26AS + MCA 1
Total 166
27. Scope of
Work with
Major
Clients:
Major Clients Scope of Work
Union Bankof India • STP Journey for Retail & MSMELoans.
UCO Bank • STP Journey for Retail & MSMELoans.
• Integration with LOS for SeamlessOn-Boarding.
City Union Bank • STP Journey for Retail & MSMELoans.
• Online applicationfor MSME lead capturing.
• Integration with LOS for SeamlessOn-Boarding.
• Integration with CBS & Net-Banking for Bank Statement Analysis
& GSTR Analysis resulting into Auto-Renewal of existing
customers.
SIDBI • STP Journey for Retail & MSMELoans.
• Integration with LOS for SeamlessOn-Boarding.
Care Ratings • Bank Statement Analysis for Bank Loan Ratings.
India Ratings • Bank Statement Analysis for Bank Loan Ratings.
Infomeric Ratings • Bank Statement Analysis & Financial Statement Analysis.
Brickwork Ratings • Bank Statement Analysis for Bank Loan Ratings.
Few of other FinancialInstitutionswho are using our Services
DMI Housing Finance Ugro Capital
Hinduja Leyland Finance Kogta Financial Services
ProfectusCapital Stride Ventures
Electronica Finance Limited Mynd Financial Services
IKF Finance Scienaptic Systems
27
28. 28
Key Benefits
Flexible Delivery Mechanism
Deployment of platforms through cloud-based approach, mobile friendly applications, in-house
middleware deployment and support for API based delivery
Data Aggregation of Broad Range of Unstructured Data
Supports the broadest range of more than 2000+ data formats across 150+ financial institutions
including pdfs and OCRS. We partner and accesses more than 25+ public data sources such as
ministry of corporate affairs, GST Network and Application Service Providers, FSSAI and etc
Big Data & AI
Leverage big data and AI – for example credit decisions for lending and renewal are
made paperless using AI based algorithms involving zero touch
Financial Inclusion
Serving 200+ financial institutions for range of credit options for MSMEs in India
Customized Data Analytics & Early Warning Signals
Output reports can be customized based on client requirements & early warning
signals via RBI parameters and via In-House analysis by Scoreme team.
Certifications
- ISO 27001
- ISO 20000:2018
- CMMI
Customers
- Banks
- NBFCs
- Credit Rating Agencies
- Digital Lenders
- Corporates
Industry Recognitions
- Registered with DIPP
- National Award for
Excellence in BFSI 2021
- Start-up of the Year Award
Assocham 2017
- Technoviti Award by
Banking Frontiers-2018
29. Jyoti Prakash Gadia
Co-Founder & Managing
Director
MD- Resurgent India Ltd
Independent Director
Ex-MD& CEO, OBC
Ayush Jindal Animesh Chauhan
Co-Founder & CEO
Shashank Sharma
Co-Founder & Director
OUR LEADER’S
Mrutyunjay
Mahapatra
Advisor
Ex MD& CEO Syndicate
Bank
Independent Director
Ex-MD& CEO, NPCI
Abhaya Prasad Hota
30. Advisor
Director- Resurgent India Ltd
ADVISORY BOARD
30
Sumeet Agarwal
Co-Founder & Head
Technology
Advisor
Director- Resurgent India Ltd
Advisor
Director- Resurgent India Ltd
Ex-MD- State Bank of Indore
Pradeep Shankar
Advisor
Director- Resurgent India Ltd
Ex- GM- Credit- CBI.
KK Gupta
Sudhir Chandi Manish Kedia
33. Estimated % of Digitization which can be achieved post
Scoreme Implementation:
100.00%
95.00%
85.00%
95.00%
95.00%
99.00%
50.00%
100.00%
90.00%
75.00%
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00% 100.00%
MUDRA LOANS
RETAIL LOANS
MSME LOANS
POS LENDING
BILL DISCOUNTING
P2P LENDING
PAY DAY LOANS
SALARY ADVANCE LOANS
PURCHASE FINANCE
FACTORING
SCOREME SUPPORT FOR PROCESSING
The remaining % is for Credit Bureau info & qualitative parameters.
33
