Bottomline Technologies Limited

Michael Marcinelli

William Cashman

Jonathan Hewitt

John Canneto

Anne Baron

Flora Kidani

Alisha Edwards

Phil Davis

Cobie Chin

Display screen with a machine learning confidence score graphical user interface

A legal spend management solution is described herein, a solution that utilizes improved machine learning algorithms to match lines of a legal invoice to lines in a receipt from a set of receipts. The matching uses cosine similarity algorithms and Levenshtein distances to determine whether there is a match between the receipt and the invoice lines. The machine learning results are displayed using a novel set of icons that present the confidence score with a set of three squares below a document icon.

Machine learning comparison of receipts and invoices

Display screen with animated graphical user interface showing circles along a line

A unique user interface for improving machine learning algorithms is described herein. The user interface comprises an icon with multiple visual indicators displaying the machine learning confidence score. When a mouse hovers over the icon, a set of icons are displayed to accept the teaching user's input. In addition, the words that drove the machine learning confidence score are highlighted with formatting so that the teaching user can understand what drove the machine learning confidence score.

Calibration of a machine learning confidence score

A unique animated graphical user interface for improving the tracking of documents is described herein. The user interface comprises of symbols that move across a line to represent the status of that document. The line may be separated into quadrants. To facilitate this graphical user interface, a non-transitory machine-readable media is programmed to store invoices in a list in a database and count the number of invoices in each quadrant in the list in the database. The first quadrant may include a representation of the number of new documents that are not yet uploaded. The second quadrant may include a representation of the number of uploaded documents that may not be able to process without further analysis. The third quadrant may include a representation of the number of uploaded documents that have been automatically processed by the software and are ready to submit electronically. The fourth quadrant may include a representation of the number of documents submitted electronically.

Interactive animated user interface of a step-wise visual path of circles across a line for invoice management

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North Andover, MA, United States of America

Michael Marcinelli