RICHMOND, Va. -- Spring Oaks Capital, LLC has achieved the important technical and operational milestone of having 100% of its outbound calls scheduled by machine learning models. Harnessing the power of its data to deliver optimal customer experiences and results across all engagement channels in a compliant fashion is core to Spring Oaks Capital's strategy. Some customers prefer engaging directly with its team over the phone, therefore Spring Oaks Capital believes it’s important to be as proficient over this channel as they are over digital channels.
Spring Oaks Capital has been working toward this important milestone in a deliberate way by using a test-and-learn approach over the course of a year. They systematically increased the percentage of machine learning model-driven calling with well over half being scheduled in this way since the beginning of 2021 in their buildup to 100%. Their efforts have driven a significant improvement in their efficiency and have established a true differentiator for Spring Oaks Capital.
“This milestone is a great example of how we can pass on value to sellers and credit issuers,” explains Tim Stapleford, President and CEO of Spring Oaks Capital. “For nearly two years we have made significant investments in compliance, operations, and technology to create efficiencies that enable us to bid more competitively on portfolios. This is the commercial equivalent of passing on savings to consumers. By driving more effective and efficient operational models we can afford to maximize our competitiveness when acquiring credit portfolios.”
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