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CreditMantri – Instant Credit Decisions
• About CreditMantri
• Proposed Offering:1. Product Offering2. Instant Credit Decisions3. Profiling Framework4. Customer ASCII Score5. Income Computation6. Through Mobile App7. Implementation
Index
About CreditMantri
The core is the credit profile
Profiling framework
Contact ability
AbilityIntent ID Stability
Profiling Measures
Credit Determinants
Government Sites
Consent Based Public Sources only as fall back
Credit Report
Bank Statement analysis – PDF, online
access
Card Statement
Investment Accounts plus other accounts
Government Sites
Utility data e.g. Mobile bills
Common Infra – PAN, Aadhaar
Proprietary data - API
accessCustomer declares
Credit Operations Drivers Underwriting Drivers
Services we offer
For Consumers For Lenders & Partners
Enabling credit
Integrated approach to enabling credit
CreditMantri Marketplace relationship platform
CreditMantriCredit Gateway transaction platform
Lenders
eCom sites
LendersConsumerNew to credit
consumer
Retail stores
Deep supply side integrationExperienced promoters capable of ideating solutions in partnership with ecosystem
Banks NBFCs ‘First of a kind’ products – created exclusive products available only on CreditMantri platform for New To Credit and Credit Challenged segments:
• Unsecured Loans - exclusive pool for ‘new to credit’ segment
• Low limit Credit Cards
• Debt Consolidation loans
Built out custom lender solutions:
• Credit Cards at ecommerce Point Of Purchase
• Loans to sellers on ecommerce platforms
34 lender solutions – 21 NBFCs and 13 banks
Instant Credit Decisions
Product Offering
• Instant Personal Loan and Credit Card approval• Issued to new to bank and new to credit customers• Approval based upon pre-agreed rules • CreditMantri to profile customers and provide data points for decision making
Instant credit decisions
Credit fulfilment process mutually agreed upon – instant or with assistance
User has existing bank account (may not be the main salary account)
User credit profileBank has some data about the customer
User’s credit profile created – online, real time in the CreditMantri checkout page
Instant Loan / Card - Process
CreditMantri Checkout Page Customer Profiler
Lender Systems – LOS System
Real-time Profiler &
Rule engine
Much more than a social score
– here is why
Deep profiling framework with info from multiple data sources
Credit Report
Google +
Bank Stmt analysis –
PDF, online access
Card Stmt
Investment Accounts plus other accounts
Airline Frequent flyer sites
Mobile bills – AIRTEL,
IDEA, Vodafone
Payback rewards
Tata Sky
Bank Stmt analysis –
PDF, online access
Customer declares
Reference checks
Proprietary data - API
access
Document upload
1
Pyschometric
We are constantly searching & triangulating data
PAN
Social sites – deep profile
User’s public info
Access data from from public sources job sites, home sites
Bank & Card Statement
analysis
Reference
Credit Bureaus
Govt data sources
Psychometric
2Aadhaar
IntentContactability Stability ID
1500 + Credit related data points
Rule engine which provides a decisioning framework
Ability
We deliver specific credit focussed data points - ASCII3
Income Computation – already live
(i) Reported on Bureau
Government Sites
(iv) Education and Designation
(v) Statement Parsing
(iii) Income from Pin Code
(ii) Trade Lines on Bureau
4
The App….in 45 days….
Phone Crawler – obtain more info about your customer
Know your customerMake better offering
Real time Scoring model
Understand cashflow, bounces, overdue payments, etc.
Location services, as you work & sleep
Read bank account data points via SMS5
Pass 1 Pass 2 Pass 3 LOS
CreditMantri Rule
Engine
Check against Lender criteria for Bureau criteria based decision
Lender credit criteria for standard loan products validated with alternate data (minimise form fill)
Pre-agreed alternate data criteria
Loan Granted
Loan Rejected
Loan Issued
Loan Rejected
Loan Issued
Loan Rejected
Passed onto Lender LOS
Custom rule engine which can be used for instant decisioning6
Pass 1 Pass 2 Pass 3 LOS
CreditMantri Rule
Engine
Check if Aadhaar address matches with delivery address
Loan Approved
Loan Rejected
Loan Approved
Loan Rejected
Loan Approved
Loan Rejected
Passed onto Lender LOS
Address matches with either bank address, bureau data
X Successful previous deliveries to address provided
Rule engine can also be used for verification - KYC7
Use technology and digital to expand into new segments
• eCom adaptable• Customisable• Rich information along with
source data details
Scalable model8
Steps to Implementation1. Agree on concept
2. Jointly build rules
3. Agree on integration• Bureau integration• Credit rules finalisation • Verification rules finalisation
4. LOS integration
5. Testing
9
Copyright StatementAll copyrights in the content and the terms of use are reserved with CreditMantri. The “CreditMantri” logos and art are trademarks of CreditMantri and/or its group/subsidiary companies. All Content on this presentation are copyrighted as a collective work of CreditMantri pursuant to applicable copyright law. All materials, including, but not limited to, its design, text, graphics, screen shots, files, and the selection and arrangement thereof Copyrighted © 2015 by CreditMantri. The information contained in this presentation including all images, illustrations, designs, photographs, video clips, writings and other materials that appear herein are copyrights, owned, controlled, or licensed (all of which, collectively, are herein referred to as the "Contents") by CreditMantri or its subsidiaries and affiliates or are the property of their respective owners. The name “CreditMantri” and the CreditMantri logo are trademarks of CreditMantri.Unless otherwise specified, this presentation is for your review only. You may not modify, copy, distribute, transmit, display, perform, reproduce, publish, license, create derivative works from, transfer, or sell any information, from this presentation.
THE END