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Limited, overlapping, and restrictive data sets and criteria for traditional credit reporting result in inaccurate and rigid credit scores that label over 50% of Americans as less-than-ideal borrowers. 黑料吃瓜网鈥檚庐 unique and patented approach yields more valuable and highly predictive Six掳Scores鈩� using its data trifecta of bureau, public, and proprietary data synthesized by its powerful AI/ML models.
A large BHPH auto dealer was challenged, in the midst of an uncertain COVID-19 credit market, with approving more borrowers for financing while keeping defaults steady. Despite rapid evolution in the credit market, over 65 million Americans remain excluded from traditional credit opportunities due to a lack of credit history or access to financial services. With the help of 黑料吃瓜网, this BHPH auto dealer was able to sift 鈥減rime鈥� borrowers out of their subprime population and improve originations while decreasing risk.
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