Abstract: Systems and methods are disclosed for receiving, from a client device, a request to generate a value for a subject real-estate property, searching a database to identify a plurality of real-estate properties that have previously been sold, and automatically generating, based on a sale price of each of the plurality of real-estate properties, the value for the subject real-estate property. The systems and methods further provide for computing a collective physical state of the plurality of real-estate properties, determining whether the collective physical state corresponds to a threshold, and generating a prompt, based on the determination of whether the collective physical state corresponds to the threshold, for display on an operator device to review the automatically generated value before the value is presented to the client device.

Abstract: Systems and methods are disclosed for receiving, from a client device, a request to generate a value for a subject real-estate property, searching a database to identify a plurality of real-estate properties that have previously been sold, and automatically generating, based on a sale price of each of the plurality of real-estate properties, the value for the subject real-estate property. The systems and methods further provide for computing a collective physical state of the plurality of real-estate properties, determining whether the collective physical state corresponds to a threshold, and generating a prompt, based on the determination of whether the collective physical state corresponds to the threshold, for display on an operator device to review the automatically generated value before the value is presented to the client device.

Abstract: Systems and methods are disclosed for determining a valuation gain amount by receiving, by a server data corresponding to previously sold real-estate property listing is retrieved from a market database and calculating valuation data for each of the previously sold real-estate property listings for portions of a specified time period. Seasonality data is further extracted from the valuation data for each of the portions. The system receives adjustments from a client device to the seasonality data. The adjustments may relate to future real-estate property trends. A plurality of valuation gain amounts for a new real estate property listing is determined based on the adjusted seasonality data. The system generates a visualization representing a graphical trend and causes presentation of the visualization on a graphical user interface of a client device.