Spending too much time classifying essential data?

Problem

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.

‍

Goals

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.

Learn how SAVVI can work for you

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

Joshua Tatum, CPO, Carputty

Related Use Cases

Operations

Other

Spending too much time classifying essential data?

Problem

Goals

SAVVI AI Solution & Results

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

Related Use Cases

Increase team efficiency and performance by upskilling with Machine Learning.

Have a Non-Sufficient Funds issue with your customers?

Need to increase term loan offer to uptake and repayment?

Let's start working together to use Al to make your business better!