The Automated Valuation Model (AVM) is the bulk valuation of asset portfolios using IV’s own valuation algorithm. This service is entirely processed by SMARTA, the system in charge of processing, analysing and representing the company’s data based on big data and artificial intelligence.
The AVM service phases out into two branches: pre and post-evaluation.
The first of these consists in normalising and enriching the original information provided by the client, and its subsequent geolocation. The post-valuation phase includes assessing localised assets and analysing assets that despite having been localised could not be valued. The causes that hinder the assessment of an asset lie in aspects relating to the type of asset and surface area, rendering it unsuitable for repeated production, or its location, if in an area where market information is insufficient.
In the specific case of the AVM process aimed at credit institutions, IV follows the indications set out by the Bank of Spain in the Guide on the use of automated valuation models by appraisal companies registered in the institution’s registers for the valuation of real estate that constitutes mortgage guarantees and foreclosures, in accordance with the provisions of Annex 9 of Circular 4/2017, of 27 November, on public and reserved financial information standards and model financial statements.
We have a normalisation, enrichment and geolocation process of the asset to be valued to achieve extreme precision in our valuations.
Spatial clustering model
This model allows to quickly and visually differentiate which zones are similar and comparable, and, therefore might have a similar value in the real estate market within the municipality in question when the system can discriminate which indicators are good for comparison and which are not.
SMARTA has more than two million indicators from different sources: offer, transaction and appraisal.