Abstract: 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 par

Abstract: 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.

Abstract: A computer-implemented method for improving efficiency in an electronic procurement system for sourcing resources, comprising, during digital electronic interactions of a buyer computer with one or more software platforms and without receiving explicit request for recommendations from the buyer computer: automatically generating, at a coding computer, implicit observation data of the buyer computer; automatically determining, at the coding computer, one or more active sourcing events from a plurality of sourcing events, based on at least the implicit observation data of the buyer computer; using the coding computer, causing to display at least one of the one or more active sourcing events in a graphical user interface.

Abstract: 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.

Abstract: 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.

Abstract: Input data provides an order of a quantity of finished goods to a site. Software is programmed for: accessing data defining an architecture of the supply chain network with sites, and a location of each site; enumerating one or more path solutions along the supply chain network to fulfill the order, each path solution comprising path fragments connecting two sites, a path fragment defining movement of a sub-quantity of the finished goods or raw materials; determining a cost associated with each of the plurality of path fragments, the cost comprising a duty rate, the duty rate associated with a particular path fragment based on the locations of the two sites connected by the particular path fragment and the sub-quantity of the finished goods or finished goods raw materials moved between the two sites; determining one or more optimal path solutions; and outputting the optimal path solutions for display.

Abstract: The present disclosure provides for a method of machine representation and tracking of contract terms over the lifetime of a contract including a step of defining an object model having object model components. Object model components are associated with other object model components where the object model components have object model component types. Further, words of object model components are evaluated to identify whether the words contain one or more core attributes pertaining to details of the contract terms. From the object model components, and the terms they contain, prevailing terms of the contract are evaluated, stored and updated as changes are made to the object model components.

Abstract: Techniques for community-based spend analysis in a software as a service computing environment are disclosed. The techniques leverage information available about community spend to provide new insights into a particular customer's spend. The new insights result from receiving a request for an optimization recommendation, importing spend data comprising a plurality of spend data lines, and using a trained deep learning classifier to classify the spend data lines in a set of standard spend categories to compute a first and second aggregate of monetary amounts. An optimization recommendation is sent to the customer based on a comparison of the first and second aggregate of monetary amounts is sent to a particular customer.

Abstract: A method and apparatus for facilitating the utilization of virtual payment card data is provided. In various embodiments, virtual payment card data is received by a centralized e-procurement service directly from buyer or issuer entities participating in the service. In various embodiments, secure processes protect the security of virtual payment card data on the centralized service by actively monitoring the service for abnormal view and access behaviors of the virtual payment card data. In various embodiments, viewing interfaces for the e-procurement service are actively and responsively altered to ensure secure utilization of the virtual payment card data. In various embodiments, preventative actions are taken to actively alter virtual payment card data or access methods for entities utilizing the e-procurement service to protect the integrity and security of virtual payment card data.

Abstract: Input data comprises an order to provide a quantity of one or more finished goods to a site. Software is programmed for: accessing information that defines an architecture of a supply chain network comprising a plurality of sites connected by a plurality of path fragments; generating one or more path solutions to fulfill the order; removing one or more loops from the one or more path solutions; generating based on the one or more path solutions and the one or more removed loops, one or more revised path solutions; outputting the one or more revised path solutions for display on a client device; and transmitting, only to computers of the sites of a revised subset of a plurality of path fragments, a plurality of signals to initiate movement of one or more of raw materials or finished goods.

Abstract: 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.

Abstract: A computer-implemented method for detecting and managing duplicate invoices is provided. The method includes accessing, in a digital storage device, invoices associated with a buyer computer. Candidate invoices having similar attributes are identified from the invoices and nodes representing the candidate invoices are created and stored in computer memory. At least two of the candidate invoices are determined likely to be duplicate invoices and an edge is generated between nodes representing the at least two candidate invoices, indicating that the at least two candidate invoices are likely to be duplicate invoices. A set of filters is programmatically applied using the at least two candidate invoices as inputs. The at least two candidate invoices are determined to be duplicate invoices based on an output of the set of filters and a notification is sent to the buyer computer indicating that the at least two candidate invoices are duplicate invoices.

Abstract: Systems and methods for obtaining required information prior to initiation of a transaction are described herein. In an embodiment, a system stores entity data defining a plurality of entities and data record requirement data identifying one or more required data record fields for one or more transactions. The system receives a request to initiate a transaction from a first client computing device corresponding to an account of a first entity. The system subsequently receives a request to view or participate in the particular transaction from a second client computing device corresponding to an account of a second entity. The system determines that the second entity has not provided data for the one or more required data record fields and, in response, restricts the second client computing device from viewing or participating in the transaction until the second entity has provided the data for the one or more required data record fields.

Abstract: Techniques for communicating with a third-party management database are described herein. According to an embodiment, a computer receives a search-style query, searches the third-party management database, retrieves multiple computer-readable database search strings, displays the computer-readable database search strings, and receives a selected computer-readable database search string. In response, the computer queries the third-party management database using the selected search string, returns a temporary variable associated with a supplier risk score, and receives a command to perform a decision step as part of a workflow.

Abstract: 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 particular correlation coefficient closest 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

Abstract: 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.

Abstract: A programmed computer-implemented method allows enterprises to pay transactions using a virtual credit card at the time of an approved purchase order. The approach maintains corporate controls relating to requisitions and purchase orders, eliminates the need for electronic invoicing, and automates the accounting and reconciliation of virtual credit card charges. For example, a particular line item in a card statement, representing a particular charge event, is automatically reconciled to the correct purchase order. For another example, each charge represented in a card statement can be associated with the supplier that is identified in a corresponding PO. Therefore, a computer graphical user interface (GUI) can show vendor identification at any time, whereas most buyers are not able to see the true vendor in spend data on a credit card charge, as the vendor is typically just represented as the issuing bank.

Abstract: A fraud detection system for detecting fraudulent acts related to payment discounts from digital transactional data is disclosed. In some embodiments, the fraud detection system is programmed or configured with data structures and/or database records that are arranged to detect an occurrence of a triggering event, such as receiving an early payment discount by a buyer account from a supplier account. The fraud detection system is programmed to analyze how a first amount charged for certain items by the supplier account to the buyer account before the triggering event has changed to a second amount after the triggering event from digital documents related to procurement transactions. The certain items may include items for sale or for other miscellaneous items. The digital documents may include catalogs, purchase requisitions, purchase orders, or invoices. The fraud detection system is programmed to further detect any potential fraud committed by the supplier account based on the analysis result.

Abstract: A computer-implemented method for managing a graphical user interface for a computer procurement application is disclosed. The graphical user interface is configured to show data related to key performance indicators (KPIs) for an entity and those for a peer group, show recommendations for improving values of the KPIs by adjusting values of configurations associated with the KPIs for the entity based on values of the KPIs and the associated configurations for the peer group in response to a first request, and implement the adjustment in response to a second request.

Abstract: In an embodiment, a system and method for the following steps are described herein: receiving transactional data describing transactions between multiple computing devices, using the transactional data, identifying multiple instances of a particular event type, each instance comprising multiple transactions associated with a particular computing device, using the transactional data related to the multiple instances of the particular event type, determining multiple items for the particular event type, receiving, from a client computing device, an event generation request for an event of the particular event type, generating an event template identifying one or more of the multiple items associated with the particular event type, and displaying, through a graphical user interface executing on the client computing device, the event template.