18295756. TOUCHLESS EXPENSES WITH REAL-TIME CARD CHARGES simplified abstract (Oracle International Corporation)

TOUCHLESS EXPENSES WITH REAL-TIME CARD CHARGES

Organization Name

Oracle International Corporation

Inventor(s)

Dawn Abraham of Foster City CA (US)

Rondy C. Ng of Redwood Shores CA (US)

TOUCHLESS EXPENSES WITH REAL-TIME CARD CHARGES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18295756 titled 'TOUCHLESS EXPENSES WITH REAL-TIME CARD CHARGES

Simplified Explanation

The expense report generation system described in the patent application receives transaction authorization data from a card issuer and uses this data, along with additional information from various sources, to automatically generate expense reports for employees. The system utilizes a machine learning model to improve efficiency and accuracy in generating these reports, ultimately reducing the burden on employees in inputting expense information and going through the approval process.

• The system receives transaction authorization data from a card issuer
• Compares the data with expense report generation criteria to determine if an expense report should be generated
• Evaluates additional data from various sources, including contextual information of the employee, transaction authorization, location, and other employees
• Updates the expense report based on updated transaction authorization and settlement data
• Utilizes a machine learning model for efficiency and accuracy in generating expense reports
• Reduces the burden on employees in manually inputting expense information and going through the approval process

Potential Applications

The technology described in the patent application could be applied in various industries where expense reporting is necessary, such as finance, travel, and business management.

Problems Solved

This technology streamlines the process of expense reporting by automating the generation of reports based on transaction authorization data, reducing the manual effort required from employees.

Benefits

The benefits of this technology include increased efficiency in expense reporting, improved accuracy in report generation, and a reduction in the burden on employees involved in the process.

Potential Commercial Applications

One potential commercial application of this technology could be in the development of expense management software for businesses looking to automate and streamline their expense reporting processes.

Possible Prior Art

Prior art in this field may include existing expense management software that offers automation features for expense reporting, but the use of machine learning models for generating expense reports based on transaction authorization data may be a novel aspect of this technology.

How does the system ensure the security and privacy of the transaction authorization data it receives?

The patent application does not provide specific details on the security measures implemented to protect the transaction authorization data from unauthorized access or breaches.

What are the potential limitations or challenges of implementing this technology in different organizational settings?

The patent application does not address the potential challenges or limitations that may arise when implementing this technology in organizations with varying structures, processes, and systems.

Original Abstract Submitted

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.