LAWRENCEVILLE, Ga. — Black Book recently rolled out its
newest product, the Collateral Insight Engine, what it's calling the industry's
most advanced resource for vehicle lenders.

Black Book explained the Collateral Insight Engine can compile
historical, current and projected vehicle values in an easy-to-use interface.
Users can also analyze collateral performance and create custom views that meet
their specific portfolio needs.

Available through the Black Book Lender Solutions division,
the new product can provides fast, easy and accurate insight so lenders can
identify opportunities, fine tune loss forecasting and balance portfolios.

Leveraging Black Book's vehicle values, Collateral Insight
Engine can helps lenders with critical functions, including:

—Identify Opportunities: Find the right vehicles that can
deliver higher profitability.

—Fine-Tune Loss Forecasting: Have better insight into
determining loss rates and loss severity.

—Portfolio Balancing: Determine where a portfolio needs to
modify or reduce certain mix of vehicles.

Jeff Bunch, vice president of Black Book Lender Solutions,
insisted collateral data is extremely important to lenders as they look to
further expand their portfolios in an automotive industry that continues to
grow.

With an estimated 2013 SAAR of 15.5 million new light
vehicles according to Black Book, Bunch stressed that it is important for lenders
to build their portfolios around the right vehicles.

Bunch highlighted the ability to analyze historical, current
and projected vehicle values in real time can allow lenders to make quick and
accurate decisions that can impact the profitability of a portfolio.

"Auto lenders need to make decisions in a more efficient
manner for their portfolio, and Collateral Insight Engine is the most
innovative service to bring this level of insight at the click of a button," Bunch
said.

"With this product, lenders can see how adding or reducing a
certain vehicle or segment will impact their portfolio in real time, expediting
the decision-making process," he went on to say.

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