White paper | LOS Decision Engine Optimization Improves Efficiency and Accuracy

LOS_white_paper_social_image_600x400_v2.jpgIn the highly competitive auto lending arena, speed is a critical deciding factor in funding more loans.  CU Direct recently conducted a study of indirect auto loan applications submitted through its CUDL Platform, and found that the probability of funding an approved application rose by as much as 55% when the application was system approved versus system countered, manually approved, or manually countered.  Yet, in the same study, it was found that many credit unions do not use their credit decision engine optimally, as less than 10% of loan application decisions are rendered via the decision engine. 

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