Coupa Software Incorporated

In one embodiment, a method includes detecting activity of one or more agents of a customer that modifies a processing state of a first of multiple invoices, each invoice requesting approval from the customer. The activity is conducted by the one or more agents through interacting with the procurement processing system. The method includes updating, based on the detected activity, an invoice interaction history record associated with the first invoice in an invoice interaction history datastore communicatively coupled to the procurement processing system. The method includes generating one or more metrics regarding activity of the agents affecting a processing state of the invoices based on the updated invoice interaction history datastore. The method includes providing the one or more metrics for presentation to a user of the procurement processing system associated with the customer.

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.

An improved procurement system and method are provided. The improved procurement system comprises: a memory having stored therein an account of a first entity, the account associated with a first computer and comprising contract data associated with a first entity and a contract terms included in a contract between the first entity and a second entity, wherein the second entity is not associated with the account; one or more processors; a non-transitory machine-readable medium having instructions stored thereon, the instructions executable by the one or more processors to perform: generating a Contract Order Document from the contract data associated with the first computer, the Contract Order Document being an electronic document comprising a portion of the contract data and a selectable user interface element that, when selected by a second computer associated with the second entity, generates an instruction to generate a first document; sending, via a network, the Contract Order Document to the second computer; receiving, in response to the Contract Order Document, the instruction from the second computer to generate the first document; obtaining, in response to the instruction and from the account of the first computer, at least a portion of the contract terms included in the contract between the first entity and the second entity; generating the first document using the at least the portion of the contract terms obtained from the account of the first computer; sending, via a network, the first document to the second computer.

An improved electronic procurement system is disclosed. The electronic procurement system (“system”) implements features such as real-time adaptive extraction of online data. The system is configured to manage a plurality of page types for webpages and for each page type a plurality of field types for fields in webpages. The system is configured to further generate a computer application that can be integrated into a web browser. For each page type, the computer application is programmed to initially generate a signature for each field type based on minimal user interaction with webpages of the page type. The system is configured to also generate an agent using the signature. The agent is programmed to automatically extract data corresponding to the field types from additional webpages of the page type using the signatures. The agent or an associated background process is programmed to also automatically update the signatures when such data extraction is unsuccessful.

Techniques are disclosed for improving spend approval cycle time in a software-as-service (SasS) electronic spend management system based on community spend approval information. The techniques include the spend management system collecting information about spend approval cycle times across a community of users that use the system. A graphical user interface is then provided by the spend management system to individual customer users of the spend management system where the graphical user interface includes a graphical comparison of the user's individual spend approval cycle time performance against the community's spend approval cycle time performance. By doing so, the individual user can be motivated to improve or maintain his or her spend approval cycle time performance.

In one or more embodiments, a system and/or a method may implement: receiving data representing different performance behavior metrics that are associated with software instances that are respectively associated with consumer computers and that specify values of performance factors of the software instances as the consumer computers interoperate with the software instances; determining data throughput values that represent processing throughput of the software instances; determining relative capacity values of the software instances; adapting each of prediction models to the relative capacity values; determining correlation coefficients from the prediction models and the multiple data throughput values; executing a prediction model of the prediction models associated with a correlation coefficient closest to a value of “1” to result in outputting threshold values associated with the performance factors; and transmitting the threshold values to a particular consumer computer among the consumer computers as part of a change recommendation message having a hyperlink.

Embodiments of the disclosed technologies provide solutions for automatically reading digital electronic documents that contain tables and correctly extracting table data, rows and columns from the documents with high accuracy and high throughput. Embodiments are capable of converting a table portion of a read-only document to a searchable, editable data record using text rectangle (TR)-level numerical data that indicates probabilities of TRs belonging to canonicals and at least one convolutional neural network (CNN) that processes the TR-level numerical data to produce table-level numerical data.

A computer-implemented method for automatic template selection for extracting data from an input electronic document is provided. The method includes receiving a first set of candidate templates and an input electronic document. For each candidate template, a template similarity ratio value is calculated that represents a similarity of the candidate template to the input electronic document. The first set of candidate templates are ranked according to the template similarity ratios and then matched to the input electronic document resulting in generating a normalized similarity score for each particular candidate from among the candidate templates. Differences in normalized similarity scores of successive pairs of the candidate templates is determined and a breaking point is established. A second set of candidate templates is formed by selecting candidate templates that are ranked above the breaking point. Data from the input electronic document is extracted using the second set of candidate templates.

In an embodiment, a computer-implemented method, comprises receiving transaction data for a plurality of transactions; identifying, from transaction data for a particular transaction of the plurality of transactions, an associated project of the particular transaction and project parameters of the associated project; performing, based on the transaction data for the particular transaction and the project parameters of the associated project, a risk assessment of the associated project of the particular transaction; performing an action in response to the risk assessment, the action comprising at least one of: generating a digital alert to a buyer and/or supplier account; preventing completion of the particular transaction; preventing access to private data; anonymizing private data; or creating a hold on the associated project to prevent completion of one or other associated transactions.

An improved electronic procurement system is disclosed. The electronic procurement system (“system”) implements features such as real-time adaptive extraction of online data. The system is configured to manage a plurality of page types for webpages and for each page type a plurality of field types for fields in webpages. The system is configured to further generate a computer application that can be integrated into a web browser. For each page type, the computer application is programmed to initially generate a signature for each field type based on minimal user interaction with webpages of the page type. The system is configured to also generate an agent using the signature. The agent is programmed to automatically extract data corresponding to the field types from additional webpages of the page type using the signatures. The agent or an associated background process is programmed to also automatically update the signatures when such data extraction is unsuccessful.