Check out these real case studies from real clients!
Each of our clients received a savings analysis prior to boarding. We've run several post-analyses to ensure we're on track with our guestimated savings. Check them out below.
While interest rates rose rapidly, the client was able to reduce warehouse expense by nearly 2.65 bps and saved an average of $30,911/mo.
The client is an independent, retail mortgage lender licensed in 37 states. Average monthly volume funded during the period was $101.7mm, utilizing five warehouse facilities.
The OptiFunder WMS has a rules-based decision engine which enables originators to optimize decisions to meet strategic objectives such as maximizing ROE, meeting specific funding targets or achieving the lowest cost of capital. For this study, the objective was to achieve the lowest cost of capital.
- Reduced funding expense by an average of $30,911/mo.
- Saved 2.65 BPS% of funding expense.
- Annualized optimization savings of $370,929.
OptiFunder’s optimized decisioning achieved the lowest cost of capital, reducing funding expense by 15.8%.
Streamlining with automation increases the savings. It's a proven way for originators to reduce costs.
OptiFunder’s optimized decision engine reduced funding expense by 9.8%.
These savings do not include efficiencies gained with automation of funding and loan sale activities. In a time of declining margins & revenue, optimized decisioning is a way to preserve profits; streamlining with automation improves these savings.