Finance

Have a Non-Sufficient Funds issue with your customers?

Problem

SAVVI’s client extends short-term credit to end consumers but needs to pay the merchant the same day. In the case where the consumer fails to re-pay the client, they are left paying out of their own pocket. 

The Client engaged SAVVI to supercharge their existing rules engine - to create a learning system that continuously evaluated customers for risk or fraud. 

Goals

  • Decrease Non-Sufficient Funds events
  • Increase successful transactions

SAVVI AI Solution & Results

SAVVI built upon the client’s existing rules engine - quickly and cost-effectively adding Machine Learning to their decisioning system. The client was able to spin up their own evolving decisioning tool which constantly takes into account new customer data.

20% reduction in the first four weeks of Non-Sufficient Funds events. Continued improvement on results.

Learn how SAVVI can work for you

Integrating was just super easy. It gave us ML functionality that we didn’t need to build ourselves.

PJ Caraher, CTO, Aeropay

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