1. A computer-assisted method for identifying a likely total loss vehicle comprising: prior to a physical inspection of a vehicle by an insurance provider to generate repair estimate data, receiving data originating from a customer describing events a vehicle went through by prompting a plurality of questions regarding the events the vehicle went through, and receiving a response to the plurality of questions; a computing system applying non-monetary weights to the data based on the response to each question; the computing system determining a cumulative value representing the non-monetary weights applied to the data; the computing system analyzing the data using a data processor to determine whether the data meets a predetermined threshold value indicating a likelihood of total loss by comparing the cumulative value to the threshold and classifying the vehicle as a likely total loss if the cumulative value exceeds the threshold; the computing system automatically generating a total loss assignment when the value exceeds the threshold; the computing system electronically transmitting the total loss assignment to an entity corresponding to the total loss assignment; the computing system selecting a method of inspection when the cumulative value does not meet the threshold; the computing system automatically generating a method of inspection assignment when the cumulative value does not meet the threshold; and the computing system electronically transmitting the method of inspection assignment to an entity corresponding to the method of inspection assignment.