Technology & Innovation
Game Changers
TARGETs
1. Out of the 600-700 files sourced – provide an in-principal
approval/Rejection for at least 300 cases so that it is clear not to
waste time in them
2. Cost Effective Automation to reduce repetitive tasks and make
better use of Big Data
3. Reduce NPA’s by 0.5%
SWOT
Strength
Weakness
- Sourcing from
difficult to Reach
places
Opportunity
Growing digital
penetration in rural
areas among people
with no CIBIL score
Threat
Suggestion - 1
FOR RISK TEAM –
Problem –
37% of Disbursements are happening to NON-CIBIL
Clients (739/2000 – FY2015-16)
Total NPA (Above 90Days) = 1.7% ( out of 50% are people
with NON-CIBIL Score)
Solution –
Have an Alternative Source of Credit Scoring –
Use LENDDO / KREDITECH’s / FIRST ACCESS
proven AI system for scoring –
This can help make more informed decision
Credit Scoring – Willingness to Pay
• Mobile Data
• Financial Transaction Data
• Form Filling Analytics
• SMS / E-mail keywords
• Browser Data
• Telecom Data
• Social Networks
• E-Commerce Transaction Data
• Psychometric Data
• Location Permanency
Comprehensive ScoreCard
Credit / Risk
Team
Verification
Data
Applicant
Data
FINAL
SCORECARD
NonTraditional
Score (based
on behavior)
Suggestion - 2
FOR COLLECTIONS TEAM - DIGITAL PAYMENTS
Dedicated Escrow Accounts with
340 Million Smartphone users in 2017
Mobile Wallet users > 100 Million
Source : www.statista.com
500
450
400
350
300
SmartPhone users
250
Mobile Wallet users
200
150
80% of Mobile
wallet is only -
100
PAYTM
MOBIKWIK
FREECHARGE
OXIGEN
50
0
2015
2016
2017
2018
2019
2020
2021
EXAMPLE - Mr. Ramesh Nair
NO CIBIL – BUT very ACTIVE Smartphone Usage
Suggestion - 3
FOR COLLECTIONS TEAM Improve Travel-SalesMan Problem
Problem –
Pincodes cover a very wide area and do not give accurate Lat
Long
Solution –
- Ask Omni to Make Landmark as mandatory and capture “Lat
Long” at Lead/Deal level
- Ask Loktra to capture Lat Long of existing leads and cross-verify
( this will be an automated on-going process to gain more
accuracy of client’s LAT LONG
- Include payment methods (UPI or Peer-to-peer linked to
Aadhar)
- Automate Litigation Process (Sarfaesi)
- Automate File Tracking (LFS)
Suggestion - 4
FOR SOURCING TEAM –
Problem – Filter out useless leads upfront
Solution – Use of AI ChatBots for better CRM
(SalesForce / BlackBook)
Suggest products based on BigData Analytics
For New Product Lines – (like Collateral Free MSME
Loans) – Follow complete Automation process like
LendingKart, CapitalFloat, NeoGrowth, IndiaLends etc.
Integrate CIBIL (at sourcing itself)
Integrate KYC ( at sourcing itself)
UNTAPPED POTENTIALS
DIGITAL PAYMENTS / DISBURSEMENTS
• Mobile Wallets
• Aadhar linked UPI payments
Smarter use BIG DATA ANALYTICS for making more
Informed+Quick+Effective decisions
It is Critical to invest in AI today
to stay relevant tomorrow
THANKYOU