Predictive Metrics
GETPAID FASTER BY PRIORITIZING COLLECTIONS
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Predictive Metrics for B2B Trade Credit
Managing credit and collections cost-effectively has never been more critical. Companies are dealing with resource constraints and an increasing amount of customers are paying slower. As a result, more accounts are in collections, leading to larger collection queues and making it difficult to identify and prioritize which customers to contact first. Failure to address those accounts with the highest risk of delinquency first, will result in an increase in past due percentages and ultimately write-offs. |
What if you could accelerate collections by identifying high risk customers and then placing those customers on a high touch "call" collections strategy?
SunGard's AvantGard Predictive Metrics helps you priortize collections so you can get paid faster. The solution uses statistical-based risk models that look at your own experiences with each customer to produce a monthly risk score. The risk score examines and calibrates each customer's payment habits and then automatically places them in the proper collections strategy. No bureau data is required - offering a higher level of accuracy and reducing your spend on bureau data.
Predictive Metrics for Consumer Debt Credit Score Models
Predictive Metrics for Leasing & Financial Services
Predictive Metrics for Hospitals / Healthcare
Predictive Metrics for Telecom / Utilities
Predictive Metrics for Legal Collections / Debt Buyers
Predictive Metrics for Collections Agencies
What is the best information and/or risk analysis methodology to use for your credit and collection evaluation needs?
Download: Business Credit and Collections Risk Analysis White Paper