Coupa Software Inc.

Zachary Randles

Donna Wilczek

Lucy Ashdown

Markus Hornburg

David Williams

In an embodiment, an automated computer-based method for improving a computer system to be able to predict rejections of requisitions submitted to the computer system, the method comprising receiving a requisition from a client device; determining, at a scoring unit of a computer system, a probability value indicating a likelihood that the requisition would be rejected if the requisition is submitted to a requisition approval chain; transmitting the probability value from the computer system to the client device to be displayed on a display of the client device.

Automated computer-based prediction of rejections of requisitions

A computer-implemented method comprising receiving a set of rules that define assigning tax codes for a first entity based on a plurality of parameters; receiving invoice data that defines an invoice directed to the first entity; automatically determining a commodity type applicable to the invoice data by digitally cross-referencing line items in the invoice data representing goods or services to community transaction data, the community transaction data comprising a plurality of different line item data for different invoices of other entities different from and unrelated to the first entity; automatically assigning tax codes to the invoice data based on the commodity type and the set of rules; and causing to display the commodity type and the tax codes in a graphical user interface.

Digitally cross-referencing community transaction data to determine commodity types and automatically assign tax codes to an invoice

A computer-implemented method comprising receiving a set of rules that define assigning tax codes for a first entity based on a plurality of parameters, and storing the set of rules in a first data repository in association with an entity record of the first entity; receiving invoice data that defines an invoice directed to the first entity; automatically determining a commodity type applicable to the invoice data by digitally cross-referencing line items in the invoice data representing goods or services to community transaction data stored in a second data repository, the community transaction data comprising a plurality of different line item data for different invoices of other entities different from and unrelated to the first entity; automatically assigning tax codes to the invoice data based on the commodity type and the set of rules; and causing to display the commodity type and the tax codes in a graphical user interface.

Growing community of inventors

Rocklin, CA, United States of America

Zachary Randles