Abstract: An expense report generation system receives transaction authorization data from a card issuer and compares the data with expense report generation criteria to determine whether to generate an expense report, prior to settlement of the transaction, based on the authorization data. The expense report generation system evaluates additional data obtained from other data sources including contextual information of the employee, transaction authorization, location, and other employees to generate the expense report. The expense report generation system subsequently updates the generated expense report based on updated transaction authorization data and/or transaction settlement data. The expense report generation system trains and uses a machine learning model for efficiency and accuracy in generating expense reports from transaction authorization data while reducing an employee's burden in manually inputting expense information and the approval process burden.

Abstract: In one or more embodiments, a metadata-driven user interface is implemented for presenting a set of available services, provided by a plurality of vendors, to a particular service consumer. The system queries metadata associated with of a set of candidate vendors to identify services provided by the candidate vendors that are available to a service consumer. The system generates and customizes the meta-driven interface for the service consumer based on the services available. The system receives user input selecting at least one of the services provided by a vendor. The system then queries configuration information associated with the particular service. The configuration information includes, for example, a workflow associated with the service, and identification of the service consumer's information to be used in execution of the workflow associated with the service. The system obtains the service consumer's information and uses the service consumer's information to cause execution of the workflow.

Abstract: Systems for determining a merchant name as used in mobile expense reporting applications. Embodiments commence upon receiving an image of an expense item receipt from a mobile user device. In addition to the image, embodiments receive metadata derived from a travel app running on the user device, which metadata is sent together with an association to the image. Further processing extracts a set of characteristics of text-containing regions of the expense item receipt, and then forms a feature vector comprising the extracted characteristics of the text-containing regions as well as aspects of the metadata received from the user device. The feature vector is input into a predictor to determine at least one predicted merchant name. The metadata can comprise information selected from a mobile app that is operational on the user terminal. Such information can comprise user travel profile information and/or user itinerary information and/or user mileage tracker app information.

Abstract: Systems for determining a merchant name as used in mobile expense reporting applications. Embodiments commence upon receiving an image of an expense item receipt from a mobile user device. In addition to the image, embodiments receive metadata derived from a travel app running on the user device, which metadata is sent together with an association to the image. Further processing extracts a set of characteristics of text-containing regions of the expense item receipt, and then forms a feature vector comprising the extracted characteristics of the text-containing regions as well as aspects of the metadata received from the user device. The feature vector is input into a predictor to determine at least one predicted merchant name. The metadata can comprise information selected from a mobile app that is operational on the user terminal. Such information can comprise user travel profile information and/or user itinerary information and/or user mileage tracker app information.

Abstract: An improved approach is described for implementing an expense solution that includes mileage tracker methods and systems. Mobile devices are integrated into an expense solutions architecture so that expense-related data can be captured, created, entered, and/or edited on the mobile device. This permits the user to generate expense line entries more in alignment with the location/way that many expense are actually generated, e.g., while the user is away from the office computer.

Abstract: An improved approach is described for implementing an expense solution that includes calendar entry methods and systems. Mobile devices are integrated into an expense solutions architecture so that expense-related data can be captured, created, entered, and/or edited on the mobile device. This permits the user to generate expense line entries more in alignment with the location/way that many expense are actually generated, e.g., while the user is away from the office computer.

Abstract: An improved approach is described for implementing mobile devices for an expense solutions architecture. Mobile devices are integrated into an expense solutions architecture so that expense-related data can be captured, created, entered, and/or edited on the mobile device. This permits the user to generate expense line entries more in alignment with the location/way that many expense are actually generated, e.g., while the user is away from the office computer.

Abstract: An expense solutions architecture is provided, in which an improved approach is described for implementing an expense solution. Mobile devices are integrated into an expense solutions architecture so that expense-related data can be captured, created, entered, and/or edited on the mobile device. This permits the user to generate expense line entries more in alignment with the location/way that many expense are actually generated, e.g., while the user is away from the office computer.

Abstract: An improved approach is described for implementing an expense solution that includes efficient entry methods and systems. Mobile devices are integrated into an expense solutions architecture so that expense-related data can be captured, created, entered, and/or edited on the mobile device. This permits the user to generate expense line entries more in alignment with the location/way that many expense are actually generated, e.g., while the user is away from the office computer.

Abstract: An improved approach is described for implementing an expense solution that includes image entry methods and systems. Mobile devices are integrated into an expense solutions architecture so that expense-related data can be captured, created, entered, and/or edited on the mobile device. This permits the user to generate expense line entries more in alignment with the location/way that many expense are actually generated, e.g., while the user is away from the office computer.