18435437. ITEM LEVEL DATA DETERMINATION DEVICE, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIA simplified abstract (Capital One Services, LLC)
Contents
- 1 ITEM LEVEL DATA DETERMINATION DEVICE, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ITEM LEVEL DATA DETERMINATION DEVICE, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ITEM LEVEL DATA DETERMINATION DEVICE, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIA
Organization Name
Inventor(s)
Brice Elder of Mishawaka IN (US)
Aditya Pai of San Francisco CA (US)
ITEM LEVEL DATA DETERMINATION DEVICE, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18435437 titled 'ITEM LEVEL DATA DETERMINATION DEVICE, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIA
Simplified Explanation
The patent application describes a system for determining individual item-level details associated with a transaction by capturing an image of a user receipt and analyzing it using optical character recognition algorithms.
- The system displays multiple purchase transactions from different merchants on a user interface.
- When a user selects a transaction, a camera captures an image of the user receipt.
- Optical character recognition algorithms convert the image into textual data.
- Line item-level details are extracted from the textual data.
- Additional information related to the line item details is determined and displayed on the user interface.
Potential Applications
This technology could be applied in retail settings to provide customers with detailed information about their purchases, help with expense tracking, and improve customer service by quickly resolving any discrepancies in transactions.
Problems Solved
This technology solves the problem of manually entering item-level details from receipts into a system, saving time and reducing errors. It also helps users keep track of their expenses more efficiently.
Benefits
The benefits of this technology include increased accuracy in tracking expenses, improved customer satisfaction through quick resolution of transaction issues, and enhanced convenience for users in accessing detailed transaction information.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of mobile apps for expense tracking and budget management, as well as integration with existing retail POS systems to enhance customer experience.
Possible Prior Art
One possible prior art for this technology could be existing receipt scanning apps that use OCR technology to extract information from receipts for expense tracking purposes.
Unanswered Questions
How does the system ensure the security and privacy of user transaction data?
The system should have robust security measures in place to protect sensitive transaction information from unauthorized access or breaches.
What is the accuracy rate of the optical character recognition algorithms in extracting line item details from receipts?
It would be important to know the level of accuracy of the OCR algorithms in order to assess the reliability of the system in providing accurate transaction details.
Original Abstract Submitted
Systems, methods, apparatuses, and computer-readable media are provided for determining individual item-level details associated with a transaction. A plurality of purchase transactions associated with different merchants may be displayed via a user interface. Responsive to a user selection of a first transaction, of the plurality of transactions, a camera may capture an image of at least a portion of a user receipt associated with the first transaction. The image of the user receipt may be analyzed using one or more optical character recognition (OCR) algorithms to convert the image of the user receipt into textual data. One or more character strings associated with line item-level details may be extracted from the textual data associated with the first transaction. Additional information associated with the line item details may be determined and the line item details and the additional information may be displayed via a user interface.