ML
Finance & Banking
Mortgage Underwriting Automation
(currently in POC with 2 banks)
Problem
It takes a few weeks to issue a mortgage. It relies on inaccurate collateral appraisal.
Solution
Using the client’s bank transactions data, users' personal data, and bank's underwriting rules (as well as our own property valuation model), we created a product that evaluates risks and completes all the steps of mortgage underwriting online within seconds.
Results:
The implementation of these models has yielded significant results:
- Improved prediction accuracy of potential customer conversions by 35%, leading to a more focused and cost-effective marketing strategy.
- Enhanced resource allocation efficiency within the sales team, with a 25% increase in lead conversion rates.
- A cumulative 20% uptick in revenue through dynamic pricing and effective upselling strategies.
- More engaging and relevant content production, leading to higher student satisfaction and course completion rates.
- Increased customer retention by 15% and a notable improvement in Lifetime Value through targeted engagement initiatives.
Conclusion:
The success of our machine learning solutions in transforming their business operations demonstrates our commitment to advancing educational technology and supporting our clients in achieving their business goals. We continue to work closely with them to innovate and refine strategies, ensuring sustained growth and success.