The model usually takes into account what has sold, when and how prices have modified over time. It also brings in various datasources to cross reference accuracy with the latest product sales knowledge and price per square foot benchmarks. In addtion to this, we filter out bad data in which we can easily recognize it so we will increase accuracy.