Case Study: Auto Approve improves auto loan refinancing efficiency with Making Sense

Auto Approve cuts missed calls by 25% with Making Sense

Auto Approve, a leading provider of auto loan refinancing, faced major operational hurdles in its critical call center, including nearly 1,000 missed calls on peak days, high dropout rates, and data inaccuracies. These inefficiencies limited scalability and represented significant missed opportunities. The company partnered with vendor Making Sense to leverage data science and AI techniques for generating actionable business insights to improve performance and increase conversions.

Making Sense implemented an AI-powered data strategy that included developing a secure data pipeline and predictive models to analyze agent behavior and call patterns. This solution identified key optimization opportunities, resulting in a potential 25% reduction in missed calls, 30% faster response times, and a possible 20% increase in loan application completion. The work by Making Sense provided Auto Approve with a clearer roadmap for future data-driven improvements and workflow streamlining.

Auto Approve