TRANSACTION RECONCILIATION AND DEDUPLICATION

    公开(公告)号:US20220398583A1

    公开(公告)日:2022-12-15

    申请号:US17835044

    申请日:2022-06-08

    IPC分类号: G06Q20/40 G06N20/00

    摘要: Provided are systems and methods for reconciling transactions from different financial accounts via machine learning. In one example, a method may include storing a data file comprising a plurality of electronic transactions and a plurality of transaction records corresponding to the plurality of electronic transactions in memory, inputting the data file into a first machine learning model and identifying respective transaction attributes of the plurality of transaction records based on the input data file, determining, via execution of a second machine learning model, that a first transaction and a second transaction in the data file correspond to a common transaction based on attributes of the first and second transactions which are identified from respective transactions records of the first and second transactions, and modifying the data file to indicate that the first and second transactions correspond to the common transaction and storing the modified data file in the memory.

    TRANSACTION COUNTERPART IDENTIFICATION

    公开(公告)号:US20220398670A1

    公开(公告)日:2022-12-15

    申请号:US17342622

    申请日:2021-06-09

    IPC分类号: G06Q40/00 G06N3/08 G06F16/22

    摘要: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.

    Transaction counterpart identification

    公开(公告)号:US11798100B2

    公开(公告)日:2023-10-24

    申请号:US17342622

    申请日:2021-06-09

    IPC分类号: G06Q40/12 G06F16/22 G06N3/08

    CPC分类号: G06Q40/12 G06F16/22 G06N3/08

    摘要: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.

    ENRICHMENT PIPELINE FOR MACHINE LEARNING

    公开(公告)号:US20230120206A1

    公开(公告)日:2023-04-20

    申请号:US17968855

    申请日:2022-10-19

    IPC分类号: G06Q10/10 G06F16/903

    摘要: Provided are systems and methods for recommending job opportunities via a machine learning engine which is coupled to an enrichment pipeline. The enrichment pipeline can add skills information and other beneficial data to enrich a job profile of a user and use the enriched record to predict an optimal job opportunity or set of opportunities. In one example, the method includes receiving a description of employment data, identifying a unique identifier of a job profile based on the description of the employment data, querying a database with the unique identifier to retrieve a list of skills from the database and that are mapped to the unique identifier, transforming the list of skills from into a skills vector, determining one or more optimal job opportunities via execution of a ML model on the skills vector, and outputting information about the optimal job opportunities via a user interface.

    INSIGHT ENGINE
    7.
    发明申请

    公开(公告)号:US20210224339A1

    公开(公告)日:2021-07-22

    申请号:US17148627

    申请日:2021-01-14

    摘要: Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.