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.
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.