- PURCHASE NY, US Jason M. Mueller - O'Fallon MO, US Jeffrey L. Altemueller - Marthasville MO, US Krista Tedder - O'Fallon MO, US
International Classification:
G06Q 20/40 G06Q 20/32
Abstract:
Systems and methods for use in identifying payment accounts to segments are provided. One exemplary method includes receiving a first indicator for a first location from a communication device, where the communication device is associated with a consumer and the consumer is associated with a payment account issued to the consumer by an issuer. The method also includes appending, by a computing device, the payment account to a first segment based on the first location indicator, and causing at least one rule associated with the payment account to be modified where the at least one rule relates to authorization of transactions in a first region including the first location.
Computer Systems And Methods For Processing And Managing Product Orders
- San Francisco CA, US Adam Hiatt - San Francisco CA, US Jason Mueller - San Francisco CA, US David Friedberg - San Francisco CA, US Scott Drummond - San Francisco CA, US
International Classification:
G06Q 30/06 G07G 1/14 G06Q 20/12
Abstract:
New technologies for real-time processing and managing product orders are described. The technologies utilize mobile communication and intelligent analysis to reduce waiting time, keep product fresh, and guarantee product delivery. Specific examples are given in the context of meal orders.
Systems And Methods For Identifying Payment Accounts To Segments
- Purchase NY, US Jason M. Mueller - O'Fallon MO, US Jeffrey L. Altemueller - Marthasville MO, US Krista Tedder - O'Fallon MO, US
International Classification:
G06Q 20/10 G06F 21/57 G06F 21/55
Abstract:
Systems and methods for use in segmenting payment accounts based on threat events are disclosed. An exemplary method includes identifying, by a computing device, a payment account associated with a threat event, appending, by the computing device, the payment account to a risk segment, and causing review of the payment account based on inclusion of the payment account in said risk segment. The threat event may include a contact by a risk associated computing device accessing the payment account, or a contact by a risk associated user accessing the payment account.
Systems And Methods For Identifying Payment Accounts To Segments
- Purchase NY, US Jason M. Mueller - O'Fallon MO, US Jeffrey L. Altemueller - Marthasville MO, US Krista Tedder - O'Fallon MO, US
International Classification:
G06Q 20/40
Abstract:
Systems and methods for use in identifying payment accounts to segments are provided. One exemplary method includes receiving a first indicator for a first location from a communication device, where the communication device is associated with a consumer and the consumer is associated with a payment account issued to the consumer by an issuer. The method also includes appending, by a computing device, the payment account to a first segment based on the first location indicator, and causing at least one rule associated with the payment account to be modified where the at least one rule relates to authorization of transactions in a first region including the first location.
System And Method For Detecting Fraudulent Network Events
- Purchase NY, US Jason M. Mueller - O'Fallon MO, US
International Classification:
G06Q 20/40
US Classification:
705 39
Abstract:
A computing device for detecting fraudulent network events in a payment card transaction network is provided. The computing device includes a processor and a display device. The computing device is programmed to receive a first plurality of fraud data elements associated with a plurality of payment card transactions from a fraud detection system. The computing device is also programmed to generate a first graph from the first plurality of fraud data elements. The computing device is further programmed to receive a first plurality of data elements associated with the plurality of payment card transactions from a second system. The computing device is also programmed to generate a second graph from the first plurality of data elements and display both of the first graph and the second graph simultaneously to a user on the display device, such that the user to detect fraudulent events in the payment card transaction network.
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