US 11,966,970 B2
Method and system for performing income analysis from source documents
Ronald Frederick George, Troy, MI (US); and Anneliese Rossi, Rochester Hills, MI (US)
Assigned to LOANCRAFT, LLC., Troy, MI (US)
Filed by LOANCRAFT, LLC, Troy, MI (US)
Filed on Feb. 8, 2022, as Appl. No. 17/650,348.
Application 17/650,348 is a continuation of application No. 15/943,460, filed on Apr. 2, 2018, granted, now 11,250,500.
Claims priority of provisional application 62/479,895, filed on Mar. 31, 2017.
Prior Publication US 2022/0164869 A1, May 26, 2022
Int. Cl. G06Q 40/02 (2023.01); G06F 18/24 (2023.01); G06V 30/10 (2022.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01)
CPC G06Q 40/02 (2013.01) [G06F 18/24 (2023.01); G06V 30/19173 (2022.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01); G06V 30/10 (2022.01)] 14 Claims
OG exemplary drawing
 
1. A method of allocating income calculation related document processing assignments to a plurality of analyst workstations coupled via a network to a processing server, each of the analyst workstations associated with an analyst, the method comprising:
providing a single digital image of an income related document via a document server;
determining income related data from the single digital image of the income related document via an automated scanning tool;
providing an interface for the input of configurations for a plurality of calculation models;
determining an income related data value from a data field of the digital image of the income related document via the automated scanning tool executed on an optical recognition server;
determining a type of income related data related to the data field via the optical recognition server;
determining an importance score of the income related data value from the data field based on the type of income related data related to the data field via a processor;
determining a historic yield of the automated scanning tool is determined from identification of data elements from total data elements on previous documents by the automated scanning tool and determining an accuracy from values determined by the automated scanning tool compared with confirmed corresponding values of previous documents;
determining a confidence score of the determined income related data value based on the historic yield and the accuracy of the automated scanning tool and determining the importance score of the income related data related to the data field via the processor;
automatically confirming the determined income related data value if the confidence score exceeds a predetermined threshold value via the processor;
selecting one of the analyst workstations based on the importance score, the confidence score and a user proficiency rating of the associated analyst; and
providing an interface on an electronic display of the selected analyst station with the determined data value and a digital image of the income related document for an analyst to enter a confirmation of the determined data value or an adjustment of the determined value if the confidence score is below the predetermined threshold value.