COMPUTERIZED-METHODS AND SYSTEMS FOR IDENTIFYING DUPLICATE ENTRIES IN A DATABASE OF MERCHANT DATA

    公开(公告)号:US20190287184A1

    公开(公告)日:2019-09-19

    申请号:US16427737

    申请日:2019-05-31

    Abstract: Systems and methods are provided for verifying and/or confirming merchant data for multiple different transactions. One method generally includes accessing merchant data for a merchant where the merchant data includes a master merchant identifier for the merchant, and querying, by a computing device, multiple users as to which of a list of merchant data entries, for multiple different transactions and including different merchant identifiers, corresponds to the master merchant identifier for the merchant. The users are associated with a location within a predefined distance of the confirmed merchant and/or have performed one or more purchase transactions at the merchant. The method also generally includes receiving, at the computing device, a response from at least one of the users, in which the at least one of the users selects a data entry from the list, and determining whether to proceed in querying additional users.

    Computerized-methods and systems for identifying duplicate entries in a database of merchant data

    公开(公告)号:US10319042B2

    公开(公告)日:2019-06-11

    申请号:US14887512

    申请日:2015-10-20

    Abstract: Systems and methods are provided for verifying and/or confirming merchant data for multiple different transactions. One method generally includes accessing merchant data for a merchant where the merchant data includes a master merchant identifier for the merchant, and querying, by a computing device, multiple users as to which of a list of merchant data entries, for multiple different transactions and including different merchant identifiers, corresponds to the master merchant identifier for the merchant. The users are associated with a location within a predefined distance of the confirmed merchant and/or have performed one or more purchase transactions at the merchant. The method also generally includes receiving, at the computing device, a response from at least one of the users, in which the at least one of the users selects a data entry from the list, and determining whether to proceed in querying additional users.

    Systems and methods for use in evaluating aggregate merchant sets

    公开(公告)号:US11087337B2

    公开(公告)日:2021-08-10

    申请号:US16667423

    申请日:2019-10-29

    Abstract: Systems and methods are provided for evaluating aggregate merchant sets, which are often generated by a payment network. One exemplary method includes accessing, by a computing device, a monitor score and a volatility score for an aggregate merchant set representative of multiple merchants having at least one disparate parameter in a transaction data structure, fuzzy sets for the monitor score and the volatility score comprising linguistic values, and inference rules that use the linguistic values in logical operations. The method also generally includes determining degrees of membership of the monitor score and volatility score to the associated fuzzy sets and generating an evaluation index based on the inference rules and the degrees of membership to the fuzzy sets, thereby providing an indication of a propriety of the aggregation of said multiple merchants.

    System and computer-implemented method for identifying defective chip readers through substandard transaction experiences

    公开(公告)号:US10776589B2

    公开(公告)日:2020-09-15

    申请号:US15844374

    申请日:2017-12-15

    Abstract: A system and computer-implemented method for analyzing chip card transactions to identify defective chip cards and/or defective chip readers in need of replacement. Constraints are established to define a subset of card transactions. From a full set of card transactions the subset is identified consisting of each card transaction falling within the constraints and occurring at a merchant having a chip reader. From this subset the unique chip readers are identified, and for each unique chip reader a percentage of fallback transactions is calculated. The percentage of fallback transactions is compared to a maximum value, and if the percentage of fallback transactions exceeds the maximum value, the chip reader is identified as defective. Each defective chip reader is reported to the merchant, along with at least a recommendation to replace the defective chip reader. A similar process may be used to identify defective chip cards.

    Systems and methods for use in evaluating aggregate merchant sets

    公开(公告)号:US10475052B2

    公开(公告)日:2019-11-12

    申请号:US14978602

    申请日:2015-12-22

    Abstract: Systems and methods are provided for evaluating aggregate merchant sets, which are often generated by a payment network. One exemplary method includes accessing, by a computing device, a monitor score and a volatility score for an aggregate merchant set representative of multiple merchants having at least one disparate parameter in a transaction data structure, fuzzy sets for the monitor score and the volatility score comprising linguistic values, and inference rules that use the linguistic values in logical operations. The method also generally includes determining degrees of membership of the monitor score and volatility score to the associated fuzzy sets and generating an evaluation index based on the inference rules and the degrees of membership to the fuzzy sets, thereby providing an indication of a propriety of the aggregation of said multiple merchants.

    Systems and Methods for Processing Support Messages Relating to Services Associated With Payment Systems

    公开(公告)号:US20180137516A1

    公开(公告)日:2018-05-17

    申请号:US15353517

    申请日:2016-11-16

    CPC classification number: G06Q30/016 G06N20/00 G06Q20/08

    Abstract: Systems and methods are provided for scoring support messages from users indicative of the likelihood of escalation of the messages, upon which the messages may be prioritized. One exemplary method includes receiving, from a user, a support message related to a payment service provider and generating an escalation score for the support message based on a temporal factor associated with a duration associated with the support message, a source factor for the support message, and a text content factor of the support message. The exemplary method further includes identifying a likelihood of escalation of the support message based on the escalation score, whereby a support representative assigned to the support message is able to prioritize the support message over at least one other support message based on the likelihood of escalation for the support message.

    SYSTEMS AND METHODS FOR DETERMINING RESTAURANT CAPACITY LEVEL

    公开(公告)号:US20170351981A1

    公开(公告)日:2017-12-07

    申请号:US15172046

    申请日:2016-06-02

    CPC classification number: G06Q10/0631 G06Q30/0201 G06Q50/12

    Abstract: A capacity analysis computing device for determining a restaurant capacity level is provided. The capacity analysis computing device is configured to store historical transaction data for a restaurant for a period of time, and analyze the historical transaction data to identify a maximum restaurant capacity for the restaurant over the period of time. The capacity analysis computing device is also configured to receive, from a user computing, a selected time interval for which a current capacity level is to be determined. The capacity analysis computing device is further configured to identify a similar historical time interval to the selected time interval, and determine a historical capacity level for the restaurant during the similar historical time interval. The capacity analysis computing device is further configured to assign the historical capacity level as the current capacity level for the restaurant, and display the current capacity level on the user computing device.

    Systems and methods for determining restaurant capacity level

    公开(公告)号:US10915838B2

    公开(公告)日:2021-02-09

    申请号:US15172046

    申请日:2016-06-02

    Abstract: A capacity analysis computing device for determining a restaurant capacity level is provided. The capacity analysis computing device is configured to store historical transaction data for a restaurant for a period of time, and analyze the historical transaction data to identify a maximum restaurant capacity for the restaurant over the period of time. The capacity analysis computing device is also configured to receive, from a user computing, a selected time interval for which a current capacity level is to be determined. The capacity analysis computing device is further configured to identify a similar historical time interval to the selected time interval, and determine a historical capacity level for the restaurant during the similar historical time interval. The capacity analysis computing device is further configured to assign the historical capacity level as the current capacity level for the restaurant, and display the current capacity level on the user computing device.

    Computerized-methods and systems for identifying duplicate entries in a database of merchant data

    公开(公告)号:US10657606B2

    公开(公告)日:2020-05-19

    申请号:US16427737

    申请日:2019-05-31

    Abstract: Systems and methods are provided for verifying and/or confirming merchant data for multiple different transactions. One method generally includes accessing merchant data for a merchant where the merchant data includes a master merchant identifier for the merchant, and querying, by a computing device, multiple users as to which of a list of merchant data entries, for multiple different transactions and including different merchant identifiers, corresponds to the master merchant identifier for the merchant. The users are associated with a location within a predefined distance of the confirmed merchant and/or have performed one or more purchase transactions at the merchant. The method also generally includes receiving, at the computing device, a response from at least one of the users, in which the at least one of the users selects a data entry from the list, and determining whether to proceed in querying additional users.

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