Invention Grant
- Patent Title: Dynamic validation of system transactions based on machine learning analysis
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Application No.: US15917463Application Date: 2018-03-09
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Publication No.: US10706418B2Publication Date: 2020-07-07
- Inventor: Andre Muller
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Jones Day
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G06Q20/40 ; G06Q30/06 ; G06Q40/00 ; G06N20/00

Abstract:
Systems and methods for applying machine learning to dynamically validate a sales transaction document created by a user in a computing system are provided. Data comprising the sales transaction document is received. A machine learning model is applied to the sales transaction document to verify that the sales transaction document meets at least one compliance standard. The user is alerted if the sales transaction document does not meet the at least one compliance standard. The maching learning model is generated by: receiving first sales transaction data from a database; determining patterns based on the first sales transaction data, wherein the patterns indicate that corrective data was created to compensate for at least one error in original data, the at least one error indicating that the original data did not meet at least one compliance standard; and generating the machine learning model based on the determined patterns.
Public/Granted literature
- US20190279208A1 Dynamic Validation of System Transactions Based on Machine Learning Analysis Public/Granted day:2019-09-12
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