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System and method for comparative sizing between a well-fitting source item and a target item

  • US 8,095,426 B2
  • Filed: 02/19/2008
  • Issued: 01/10/2012
  • Est. Priority Date: 02/19/2008
  • Status: Active Grant
First Claim
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1. A computer implemented method for operating a comparative sizing system, using a computer system including a plurality of database items in a database, each of the at least one database items having at least one database item property associated therewith, comprising the steps of:

  • (a) receiving and storing in a memory device;

    (i) at least one well-fitting source item, each of the at least one source items having at least one source item property associated therewith, wherein the at least one well-fitting source item is determined to be well-fitting by a wearer of the at least one source item;

    (ii) a target item and at least one associated target item property for which a resultant comparative sizing recommendation is being requested based on the at least one source item as specified by its at least one source item property associated therewith;

    (b) retrieving from the memory device and correlating each of the at least one source items with each of the plurality of database items in the database stored in the memory device based on source-database item matches between the associated at least one source item property of each of the at least one source items and the associated at least one database item property of each of the plural database items in the database; and

    (c) retrieving from the memory device and correlating each of the at least one target items with each of the plurality of database items in the database based on target-database item matches between the associated at least one target item property of the target item and the associated at least one database item property of each of the plural database items in the database; and

    (d) determining the resultant comparative sizing recommendation using the computer system, wherein the resultant comparative sizing recommendation includes at least one target match size based on the correlated source-database item matches and target-database item matches.

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