Collection Scoring Model
Applying Machine Learning to Collections
Our machine learning algorithms allow accounts receivable management and collections organizations to increase collections & debt recovery through the creation of data-driven, customer specific contact strategies, dynamic scoring, and advanced analytics.
AI – Driven Collections Scoring
Speak with a member of our team to learn more
The Consumer Financial Protection Bureau (CFPB) recently released a new rule governing the attempts to contact a consumer about a debt.
Ensuring you are able to maximize your attempts is more crucial than ever.
Read our blog post on how Machine Learning models can help with this new rule.
Debt Scoring Done Differently
Traditional Fico Scoring
Out of the Box ML Scoring
The NLP Logix Approach
Rank debt for strategic utilization
100% of accounts scored
Successfully passed CFPB audits
Custom built on your data
Flat fee pricing
Prioritizing Collection Accounts for Outsourcing
Healthcare Providers typically outsource their receivables to enable their staff to focus on patient care rather than collections. With our scoring model, you can easily prioritize the collection accounts that will be more likely to pay, saving on outsourcing fees.
Learn more in our article Using AI/ML for Collection Scoring.