Operation error detection
AssigneeSap SE
InventorMahesh VAIDYANATHAN
Life of this patent
Estimating the term…
Abstract
Systems and methods include acquisition of operation data associated with a plurality of operations, generate a set of feature values for each operation based on associated operation data, determine a first set of the operations associated with an error and, for each operation of the first set, automatically determine a rejection reason based on operation data associated with the operation, determine a rejection label associated with the rejection reason, and associate the rejection label with the set of feature values generated for the operation.
Claims18
A system comprising:
- a memory storing processor-executable program code;
- and
- at least one processing unit to execute the processor-executable program code to cause the system to:
- acquire operation data associated with a plurality of operations;
- for each of the plurality of operations, generate a set of feature values based on associated operation data;
- determine a first set of the plurality of operations associated with an error;
- for each operation of the first set of the plurality of operations:
- automatically determine a rejection reason based on the operation data associated with the operation;
- determine a rejection label associated with the rejection reason;
- and
- associate the rejection label with the set of feature values generated for the operation;
- and
- train a model to output a label based on the sets of feature values generated for each operation of the first set of the plurality of operations and associated rejection labels.
A method comprising:
- acquiring operation data associated with a plurality of invoice submissions;
- for each of the plurality of invoice submissions, generating a set of feature values based on associated operation data;
- determining a first set of the plurality of invoice submissions associated with an error;
- for each operation of the first set of the plurality of invoice submissions:
- automatically determining a rejection reason based on the operation data associated with the invoice submissions;
- determining a rejection label associated with the rejection reason;
- and
- associating the rejection label with the set of feature values generated for the invoice submissions;
- and
- training a model to output a label based on the sets of feature values generated for each operation of the first set of the plurality of operations and associated rejection labels.
A non-transitory medium storing program code executable by at least one processing unit of a computing system to cause the computing system to:
- acquire operation data associated with a plurality of operations;
- for each of the plurality of operations, generate a set of feature values based on associated operation data;
- for each of the plurality of operations:
- automatically determine a rejection reason based on the operation data associated with the operation;
- determine a rejection label associated with the rejection reason;
- and
- associate the rejection label with the set of feature values generated for the operation;
- and
- train a model to output a label based on the sets of feature values generated for each operation of the plurality of operations and associated rejection labels.
Dependencies are inferred from the claim text.