AvantGard Predictive Metrics
Managing credit and collections costs effectively has never been more critical than in today’s economic times. Companies are dealing with increased resource constraints, and more and more accounts are paying slower. As a result, an increasing number of accounts are being placed in collections, leading to rising costs, higher DSO and write-offs.
Statistical modeling is being applied in both B2B and B2C environments using specific models developed for early and late stage collections to help organizations mitigate bad debt expense, lower DSO and increase competitiveness. This sophisticated technique primarily takes into account customer payment history and aggregated behavioral observations, but it can also incorporate external bureau data to predict the likelihood of delinquency or bad debt.
Features
- Leverage internal data for predictive analysis
- Combine internal data with external variables
- Easily integrates with any A/R, ERP, or specialty leasing system
- Complimentary validation process
Benefits
- Mitigate bad debt expense
- Lower DSO
- Improve productivity
- Identify sales opportunities
- Does not require bureau data
Brochures & Datasheets
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