Spending too much time classifying essential data?


SAVVI’s FinTech client Carputty had a scaling challenge, as it grew, it's team was spend too much time sorting and classifying income data in order to understand a customer's complete financial picture. This work was manual, error-prone, and time-consuming for the client’s internal team. Although a bank aggregator provided transaction information, those transactions were not adequately classified to provide an accurate picture of income and regular expenses.  


  • Increase classification accuracy rates
  • Decrease manual effort

SAVVI AI Solution & Results

With SAVVI, the client quickly set up a Machine Learning powered classification engine that continuously learned and improved. SAVVI-powered decisioning was able to quickly identify and learn income and expense items per customer, and classify them to accurately portray a customer’s monthly financial picture.

Using SAVVI AI, Carputty improved processing time of income categorization by over 50% - representing hundreds of hours of time saved and better results for their customers.

With SAVVI, our team is using Machine Learning to scale efficiently, saving time and money.

Joshua Tatum, CPO, Carputty

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