Machine learning technology that
makes much
Value Proposition: Business outcomes we drive for banks, nbfcs, hfcs and fintechs
reduce LOAN Delinquencies by UPTO 30%
Increase LOAN Approvals by UPTO 25%
Reduce Turn Around Time by UPTO 40%
Improve cross-sell BY upto 30%
Reduce customer attrition BY UPTO 20%
Offerings That drive said value: PREDictive Machine learning powered scorecards
Application Scorecards
Behavioral
Scorecards
cross-sell scorecards
Acquisition Scorecards
collections
Scorecards
Bounce
scorecards
marketing scorecards
pre-approval scorecards
Pre-approval scorecards
Income Estimation Scorecards
Retention Scorecards
Asset and liability products supported by our scorecards
25 lenders use Monsoon’s models and
platforms for a wide range of loan and deposit portfolios.
LOANS
Credit Cards
Home loans / loans against property
PERSONAL lOANS
2 WHEELER / 4 WHEELER LOANS
CONSUMER LOANS
BNPL
MSME lOANS
CORPORATE LOANS
DEPOSITS
sAVINGS accounts
Current accounts
Zero balance account
Why Monsoon?
Proven Proprietary technology
Monsoon's machine learning technology pipelines and platforms have evolved over the years across dozens of modelling engagements with lenders, large and small, to yield models that have consistently outperformed those built by in-house analytics teams, consulting companies and the consulting arms of credit bureaus.
Exclusive Focus on the BFSI Sector
Monsoon CreditTech is focused exclusively on the Banking and Financial Services Sector unlike many of our competitors who work across domains. This allows us to offer a unique blend of domain knowledge and cutting edge technology that has evolved after seeing patterns unique to this industry.
Track record of Superior Performance
Our track record with the biggest financial institutions speaks for itself. We have won contracts after being benchmarked against bureaus, competitors, internal teams and consulting companies and delivering significant lifts in performance over in-house models and those of competitors.
Used By
25
Banks and Financial
Institutions
Institutions
Processed
5.2M
customer accounts (mainly loans)
and counting
and counting
Totalling
$20B+
In, credit
Case Studies
Case Study 1
Our application scorecard using bureau data helped a leading digital-first NBFC reduce delinquency rates by 40% and improve approval rates by 31% (before policy cuts) on their Personal Loans portfolio.
Case Study 2
Monsoon's Behavioral Scorecard that used bureau data, banking data, credit card transaction data and demographic data helped a large bank improve it's risk cost capture on their credit cards portfolio by 78% while achieving a bad-capture of 85% in the last 3 deciles.
Case Study 3
Our Collections scorecard that used bureau data and prior repayment data helped a leading Housing Finance lender achieve a 94% bad-capture (in the first decile) enabling them to effectively prioritize collection efforts, reduce Value at Risk, and drastically cut collections costs.
Case Study 4
Our bespoke Application Scorecard that used credit bureau data and demographic data helped a large Fintech lender cut delinquency rates by 24% on their Buy-Now-Pay-Later (BNPL) portfolio.
