SOLUTIONS
Unleash the Full Potential of Your Business with Riskbite
01
Predictive modelling, such as credit scores, are no longer enough. We must optimize for the custome rlifetime value with all the trade-offs considered. In lending those are term, limit, early repayment risk, default risk and repeat/upsell behavior.
Use cases
02
Credit scores have been around for 80 years, but in the past 20 years more in-depth data such as banks statements have become available. This requires advanced data science as machine learning and domain knowledge, not just basic statistics.
Use cases
03
PSD2 has enabled any company to ask for bank statement data during customer onboarding. But this data is useless unless you have machine learning models that can label each transaction accurately and calculate necessary variables.
Use cases
04
High volume sales is hard, onboarding new customers and figuring out how to filter them for maximum value can be challenging. RiskBite has helped intermediators benefit from machine learning to match customers with best offer.
Use cases
05
Risk model performance reviews are critical in understanding your portfolio performance. RiskBite helps numerous lenders know their performance black on white focus on making strategic decisions about sales.
Use cases
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