Cognilytics Auto Lending practitioners utilize the Cognilytics AVM™ model to direct the Big Data Tamers and Decision Scientists to deliver customized innovative yet monetize-able solutions to help manage your loan, lease, and dealer finance portfolios

Constituent
Focus
Customer Lifecycle Analytics
CUSTOMERS
REGULATORS
SHAREHOLDERS
Acquisitions and UnderwritingPortfolio Valuation and AnalyticsCollections and Account Management
  • Applicant Risk scoring
  • Credit Policy and automation
  • Channel Management
  • Pricing and segment performance management
  • Incentive management
  • Portfolio Valuation, Forecasting, and Stress Testing
  • Economic and Regulatory Capital Adequacy
  • Loan Loss Provisioning and Scenario Based Forecasting
  • Default and Severity (P(D), LGD, EAD) Modeling
  • Collateral valuation, lease return rates and residual value risk management
  • Dealer Credit scoring and performance management
  • Collections and Behavioral Scoring
  • Champion/Challenger Design
  • Collections Action Optimization
  • Operational re-engineering and capacity planning
  • Vendor and Agent Incentive Management

The Cognilytics AVM™ Model addresses key challenges faced by Auto Lending Institutions

Dealer Channel Management
  • Which dealers and geographies are most profitable?
  • What are the drivers of dealer loyalty and lead conversion/fulfillment?
  • How does Dealer experience enhance customer loyalty?
Credit Risk Management
  • What are the credit score trends across the portfolio by geography, loan, and key customer segments?
  • How are the key early warning indicators trending?
  • How is the macro economy impacting credit performance?
Collateral Management
  • How are the key supply and demand determinants of used values trending?
  • How are the key auction markets and segments performing?
  • How are return rates and resale values trending for lease portfolios?
Profitability Management
  • What are the key risk adjusted performance measure trends?
  • Which segments are the most value add and value destroyers ?
  • How can profitability levers be optimally leveraged ?
  • How is the loss outlook impacting current and future profitability?