Debt Collection Scoring Models
With Machine Learning

Improve debt recovery and collection strategies with machine learning (ML).
Control costs while increasing productivity with data-driven insights.

Optimize Recovery with
Machine-Learning Debt Collection Scoring

Increase Recovery Revenue

Identify debtors most likely to pay
and who might pay the most to
prioritize collections

Improve Collection Operations

Automate decision trees and debt
scoring to optimize collection
strategies and treatment levels

Innovate Recovery Strategies

Increase agility to adapt
collections to changing
conditions and prevent default

Increase Recovery Revenue

Improve Collection Operations

Innovate Recovery Strategies

LEARN MORE AND PUT OUR DEBT COLLECTION MODELS TO THE TEST

Amplify your profitability with Machine-Learning Debt Collection Scoring

Analyze your business holistically. Turn insights into decisions. Forecast with confidence.

See The Future. Realize the Growth.
Speedometer | GDS Link
Billion Decisions Annually
0
Speedometer | GDS Link
Years of Experience
1 +
Speedometer | GDS Link
Countries Served
0
Speedometer | GDS Link
Average Annual Income Impact through Model Implementation
$ 0

What Our Customers Say

“Over 80% of banks can’t participate in credit cards because of scale. We saw an opportunity to build a 21st century end-to-end platform for banks to service credit card loans, including credit decisioning and on-boarding processes.”

-President, CorServ

Other Solutions