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Payment Negotiator
Adeptra's Decision Engine offers a broad view of a consumer’s history to automate payment arrangements that help consumers bring accounts back into good standing.
Bringing consumer accounts back into good standing is a positive outcome on many levels; revenues are enhanced and consumer satisfaction is increased. But it’s often difficult to identify when a consumer has the ability and willingness to meet their obligations. Most existing processes don’t provide a broad view into the consumer’s entire account portfolio and have a limited ability to offer creative payment arrangements. As a result, Decision Engine is used to determine personalized payment arrangements based on the amount past due and the payment history of the consumer.
Collections departments have limited tools at their disposal when they are negotiating a payment plan with a consumer. The personal judgment of a collections officer is the basis for predicting the likelihood a consumer will bring their account back into good standing. But all too often the view into the consumer’s relationship with the institution is limited. It may be unknown if the consumer maintains other accounts that are in good standing, or if the consumer has experienced a life-changing event such as a job loss. To enhance the success of the payment negotiation process, companies must have a comprehensive picture of the consumer’s portfolio in order to offer payment arrangements that ensure a high probability of success.
Adeptra's Decision Engine generates promises made and promises kept statistics by:
- Creating personalized payment plans that consumers are more likely to keep including a promise kept rate of 75% and higher
- Prioritizing based on which payment options are financially beneficial to organizations while remaining fair/feasible for the consumer
- Fine-tuning payment strategies to increase the speed and consistency of accounts moving back into good standing
Adeptra's Decision Engine tracks key metrics based on the consumer’s history and accounts to generate creative, personalized payment offers with tiered payment arrangements prioritized to benefit consumer and institution.
