Oracle International Corporation

Muthu Senthil

Alan Fothergill, Ii

Tapomoy Dey

Joseph L Del Callar

A method for matching remittances to transactions is disclosed. The method for matching remittances to transactions uses a processing paradigm based on weighted scoring and fuzzy logic that is easy to maintain and fosters the use of logic based on the summarization of payments. The system and method also matches remittances to particular transactions with relaxed sensitivity to where identifying markers may be placed on a remittance and is resistant to typographical data entry errors. Further, the system and method is flexible with regards to handling various kinds of information that can result in accurate, precise matching without discarding or overlooking such information.

Method and system for matching remittances to transactions based on weighted scoring and fuzzy logic

Embodiments of the present invention provide a method of determining the similarity of two strings. The method comprises calculating a Levenshtein matrix of a first string and a second string. A Levenshtein distance is determined from the Levenshtein matrix. A largest common substring is also determined from the Levenshtein matrix. The method may farther comprise determining a numerical score as a function of the Levenshtein distance and the largest common substring.

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Mountain View, CA, United States of America

Muthu Senthil