Solution · Collections

Modernize debt collections with machine learning.

Enable a proactive and prescriptive approach to collections — detecting and addressing risk before default.

Problem

Today’s collections is reactive — not proactive.

Lenders are reactive rather than proactive when it comes to collections, leading to costly provisions and missed opportunities for recovery.

How it works

Move upstream — from collection to prevention.

Step 1

Pre-incident handling

Our solution increases client and loan savings rate because there are more re-negotiation options, and because lenders are involved earlier in the delinquency process — ahead of other creditors. Particularly helpful in extreme cases that degrade into bankruptcy or loan restructuring.

Step 2

Proactive recommendation

Models are promoted for real-time prediction with prescriptive next-best actions.

Step 3

Seamless workflow integration

Each account is scored with confidence levels. Scores integrate easily with the collections workflow via API.

Step 4

Actionable insights

Advanced analytics support model performance and root-cause analysis.

Benefits

Detect risk earlier — recover more.

Lower delinquency rates

Proactive outreach and prioritization allow lenders to detect the risk of default before it occurs — and proactively offer solutions.

Increase recovery rates

The earlier the outreach, the higher the recovery rate.

Move from reactive to proactive.