Carbon Delivers Greater Access to Credit and Quality Financial Services in Africa
To support its ambitious growth plans to operate across Nigeria, Carbon needed a more flexible decision engine solution to manage their credit policies, scorecards, pricing and credit decisioning. Their current in-house solution did not provide the flexibility needed to support their digital lending channels. The solution also had to be configurable by business users and allow on the fly changes.
During the evaluation of potential partners, Carbon determined Provenir provided the low code, reliable and flexible solution they needed to quickly implement decision rules customized to their risk appetite and data needs, and scale as needed.
Carbon collaborated with Provenir to develop consumer digital lending, including their BNLP solution, Carbon Zero. Carbon accepts credit applications via their app or website. To gain a holistic view of its applicants, Carbon can easily integrate into multiple data sources including local credit bureaus, fraud detection engines and data aggregators as well as internal data sources to make the most accurate risk decision.
“The flexibility of the Provenir platform allows us to easily configure scorecards, models and rules as well as integrate with new data sources. Delivering on customer expectations and providing a superior experience that is safe and reliable is a key priority for us. Partnering with Provenir allows us to give customers greater access to credit and quality financial services and we look forward to helping reshape the overall payment experience in Africa.”Ngozi Dozie, Co-founder & Managing Director
Carbon can now easily accept credit applications via their mobile app or website. The availability of data from all transactions, including both performance data and business data, allows an almost immediate creation of BI reports and the optimization of existing decisioning flows using this up-to-date, historical database. Users are enabled to quickly deploy any change to the workflow and the data models, providing a ready-to-work interface to existing IT systems. With advanced analytics embedded in the solution, their risk decisioning framework will continuously learn, improving decision quality.