Systems and methods for authenticating calls for a call center

    公开(公告)号:US12212716B2

    公开(公告)日:2025-01-28

    申请号:US17724428

    申请日:2022-04-19

    Abstract: Disclosed embodiments may include a method for authenticating calls for a call center where the user can authenticate before or after starting a call to a call center using an application on a user device. The system determines what level of authentication is necessary depending on the task the user wants to accomplish during the call. The system may direct the user to provide credentials, such as a username and password, for some tasks. Other tasks may require the user to verify their financial card by taking a photo of their financial card or tapping their financial card to their device and allow the device to interact with the financial card using NFC technology. Once appropriately authenticated, the system then allows the user to make a call to the call center and also sends a signal to the call center that the user has been previously authenticated.

    COMPUTER-BASED METHOD AND SYSTEM FOR MANAGING A FOOD INVENTORY OF A FLIGHT

    公开(公告)号:US20240193711A1

    公开(公告)日:2024-06-13

    申请号:US18393191

    申请日:2023-12-21

    CPC classification number: G06Q50/12 G06Q10/06315 G06Q10/0875

    Abstract: An exemplary method includes receiving, by a processor, flight information from a computer device associated with an airline identifying a flight and passengers on the flight that purchased flight tickets by utilizing payment cards associated with a card authorizing entity. Passenger food preferences for the flight passengers based at least in part on historical payment card transaction data of the flight passengers is received from a computing device associated with the card authorizing entity based on the flight information. A food inventory available to be serviced on the flight is received. Automatically determining a flight-specific food inventory, to minimize an overall weight of the flight-specific food inventory to be carried by the flight based on the passenger food preferences. Automatically transmitting food packing instructions to a packing-related machine based on the flight-specific food inventory so as to assemble a portion of the flight-specific food inventory.

    Compact transaction card with foldable magnetic stripe

    公开(公告)号:US11977939B2

    公开(公告)日:2024-05-07

    申请号:US18110445

    申请日:2023-02-16

    CPC classification number: G06K19/0772 G06K19/06196

    Abstract: Provided are compact transaction cards. In some approaches, a body of the card includes first and second sections rotatably coupled together, wherein the first and second sections define a first main side opposite a second main side, an insertion end perimeter opposite a second end perimeter, and a first side perimeter opposite a second side perimeter. The body may include a chip along the first main side, the chip being located on the first section of the body. A magnetic stripe may be provided along the second main side of the body, wherein the magnetic stripe is located on the second section, wherein the magnetic stripe extends parallel to the insertion end perimeter when the first and second sections are in a first configuration, and wherein the magnetic stripe extends perpendicular to the insertion end perimeter when the first and second sections are in a second configuration.

    Method for Determining the Likelihood for Someone to Remember a Particular Transaction

    公开(公告)号:US20240013214A1

    公开(公告)日:2024-01-11

    申请号:US18372866

    申请日:2023-09-26

    CPC classification number: G06Q20/401 G06N5/04 G06N20/00

    Abstract: Aspects described herein may use a machine learning model to identify transactions likely to be remembered by a user and that may be used to generate challenge questions to authenticate the user. An individual may request an action related to a financial account. In response to the request, the machine learning model may determine a likelihood an authorized user of the financial account will remember one or more recent transactions. The likelihood of each candidate transaction may be compared to a predetermined threshold to determine a subset of recent transactions. Information relating to the subset of recent transactions may be used to generate one or more challenge questions to pose to the user. The user's responses to the challenge questions may be used to evaluate whether the user is the authorized user of the financial account or is a fraudster or imposter.

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