CreditNirvana’s data enrichment strategy consists of 600+ proprietary data variables engineered and made available for ML decision and rule engines. This allows intelligent allocation of customers to field/tele agents and agencies, based on risk category allocations such as propensity to pay, agent performance etc, and/or rules set by the client.

 

The allocations are driven by payment risks and are done manually or in bulk, allowing

agents to have their accounts and act right away.