Case Study: Global Credit boosts loan acceptance and revenue with DataRobot

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Preview of the Global Credit Case Study

Global Credit increases loan acceptance with DataRobot in 8 weeks

The customer, a lender called Global Credit, faced the challenge of managing risk and compliance while expanding its digital lending services. To build a competitive advantage, it needed to efficiently leverage AI to identify reliable borrowers, particularly within underserved segments like the unbanked. They turned to the vendor DataRobot and its AI platform for a solution.

Using DataRobot's AI lifecycle platform, Global Credit rapidly developed and deployed predictive models. With support from DataRobot experts, they built a model to identify unbanked individuals with a lower probability of default. As a result, they deployed several high-impact models in just eight weeks. This increased their loan acceptance rate and revenue while maintaining the same level of risk, and also improved the efficiency of their customer re-acquisition efforts.


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