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Payment Predictor
Adeptra's Decision Engine intelligently considers overall consumer relationships, evaluates risk and identifies valued consumers.
Handling the collection activities on delinquent accounts can be an extremely problematic and highly sensitive responsibility for collections managers in enterprises. Often consumers simply forget they have a payment due or experience short term cash flow challenges that cause them to pay late. In these scenarios, consumers generally solve the issue themselves before their accounts roll more than thirty days delinquent. But without any insight, live agents can find themselves spending time on these self-curing accounts, rather than with consumers who have already broken their promise to pay or find themselves in more severe delinquency stages.
Adeptra's Decision Engine identifies consumers who will self-cure in an automated fashion by:
- Considering the overall consumer relationship, past history and risk scores generated by existing collection systems
- Segmenting consumers with a habit of paying late for personalized reminders and educating them on the consequences of missing payments
- Recognizing consumers of high value to the business and offering alternative payment arrangements to aid short-term cash flow troubles
Adeptra's Payment Predictor gives collections managers an edge by isolating consumers most likely to self-cure and treating them in a completely automated environment, thus allowing highly trained agents to focus on consumers who need it the most.