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    Cost allocation estimation using direct cost vectors and machine learning
    3.
    发明授权
    Cost allocation estimation using direct cost vectors and machine learning 有权

    公开(公告)号：US11521274B2

    公开(公告)日：2022-12-06

    申请号：US16358850

    申请日：2019-03-20

    申请人： SAP SE

    发明人： Steffen Vollmert ,  Luisa Karl ,  Konrad Schenk ,  Olga Cherepanova ,  Janet Dorothy Salmon ,  Ralf Ille ,  Thomas Zuerker

    IPC分类号： G06Q40/00 ,  G06N20/00

    摘要： The disclosure generally describes methods, software, and systems for estimating cost allocations, including a method for the following steps. Using a machine learning system, transactions are consolidated into estimated sender-receiver totals for costs transmitted by senders to receivers in an organization. A sender-receiver percentage matrix is determined from the estimated sender-receiver totals of a given sender and for each receiver of the transactions from the given sender. The sender-receiver percentage matrix includes, for each sender, estimated sender-receiver percentages. Current actual costs are determined for each sender to receivers for a given time period. Estimated cost allocations are determined for given time period using the sender-receiver percentage matrix. The estimated cost allocations are determined for each receiver in the organization based on a function of the current actual costs for each sender. A report that includes the estimated cost allocations is provided for presentation to a user.

    COST ALLOCATION ESTIMATION USING DIRECT COST VECTORS AND MACHINE LEARNING
    4.
    发明申请
    COST ALLOCATION ESTIMATION USING DIRECT COST VECTORS AND MACHINE LEARNING 审中-公开

    公开(公告)号：US20200302550A1

    公开(公告)日：2020-09-24

    申请号：US16358850

    申请日：2019-03-20

    申请人： SAP SE

    发明人： Steffen Vollmert ,  Luisa Karl ,  Konrad Schenk ,  Olga Cherepanova ,  Janet Dorothy Salmon ,  Ralf Ille ,  Thomas Zuerker

    IPC分类号： G06Q40/00 ,  G06N20/00

    摘要： The disclosure generally describes methods, software, and systems for estimating cost allocations, including a method for the following steps. Using a machine learning system, transactions are consolidated into estimated sender-receiver totals for costs transmitted by senders to receivers in an organization. A sender-receiver percentage matrix is determined from the estimated sender-receiver totals of a given sender and for each receiver of the transactions from the given sender. The sender-receiver percentage matrix includes, for each sender, estimated sender-receiver percentages. Current actual costs are determined for each sender to receivers for a given time period. Estimated cost allocations are determined for given time period using the sender-receiver percentage matrix. The estimated cost allocations are determined for each receiver in the organization based on a function of the current actual costs for each sender. A report that includes the estimated cost allocations is provided for presentation to a user.