A U.S.-based automotive finance firm lacked timely churn prediction and efficient QA. Gnani.ai deployed Aura365 for automated post-call analytics and actionable insights.
The Solution
Horsepower implemented Aura365 for advanced call analytics and churn prediction, modernizing its quality monitoring and compliance frameworks. The solution delivered predictive insights and improved agent coaching capabilities.
Enabled 100% automated call analysis to extract sentiment scores, compliance markers, and performance metrics across all calls.
Integrated predictive modeling to forecast churn risk and enable timely retention strategies using historical data patterns.
Delivered real-time dashboards for operational visibility and agent performance tracking with actionable recommendations.
Applied AI-driven learning loops to refine predictive accuracy and improve outcomes over time.
This deployment modernized analytics, reducing QA costs and improving both customer retention and agent productivity.
The Impact
Horsepower improved customer retention rates, reduced QA costs, and enhanced efficiency by leveraging automated analytics and proactive insights.
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