Predictive Analytics
Encore has accumulated millions of data points from thousands of appraisers across every county in the United States. These data points encompass crucial performance metrics and predictive analytics for future performance.
- Distance from the subject property
- Number of orders completed in the market
- Average turn-time versus peers
- On-time delivery percentage
- Underwriting revision percentage
- Reconsideration of value dispute percentage
- Appraised value to contract price
Our technology uses data and algorithms to predict the most suitable appraiser for your next appraisal. We consider the appraiser's past performance with the same loan and product types, as well as the precise location of the property. This approach removes subjectivity from the appraiser selection process and ensures that each order is assigned to the most qualified and highest-performing appraiser.
How we help you close more loans!
91%
On-Time or Early
19 Hrs
Accept to Schedule
4.88 Day
Turn-Time
Quality Assurance
Subjective language: general terms
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The area is convenient to major transportation.
Similar to the subject property, this sale is also located in a desirable neighborhood.
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Detection interface rebuilt as live components. Property views are illustrations standing in for real subject photos.
Our Quality Control process includes:
- A team of in-house certified residential appraisers coordinates a multi-step quality control process to ensure compliance with GSE guidelines, lender specific requirements, industry standards, and USPAP. This allows our clients to lend with assurance by greatly reducing liability and buy-back risk.
- Most QC tools only analyze key fields within the XML of an appraisal. Encore uses optical character recognition to read every page of the report. AI technology scans every appraisal report to identify consistency, or inconsistency, across every single word, photo, sketch, adjustment, and addendum. The bottom line is you get the highest quality report every time, without wasting time going back and forth over revisions that are eliminated upfront.
- The Machine Intelligence Review Assistant employs a combination of optical character recognition (OCR), natural language processing (NLP), and machine learning (ML), coupled with a blazing-fast interface to accelerate document review.
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