Incorrect living area estimates are widespread and create numerous problems for carriers and for the insured. Understand more about the complexity and accuracy of prefill living area estimates for replacement cost and learn how machine learning technology and data fusion have emerged as a solution to these problems.
Living area estimates for home insurance underwriting account for as much as 80% of replacement cost estimates.
Studies show that 26% of the time trusted sources of prefill living area data disagree by more than 10%.
CAPE's methodology dramatically improves the accuracy of the resulting data compared with any stand-alone data source.