Sap Se

Kumar Priyam

Ajay Krishna Uniyal

Mohd Danish Imam

Shivendra Kumar Mathur

Devendra A M

Harish Sivakumaran

Provided are a system and method that use machine learning to recommend adjustments to digital documents that are included within a report managed by a software application. The system may also provide a trend analysis as part of the recommendation. In one example, the method may include detecting a request to open a digital document from a user via a user interface, populating the user interface with content from the digital document and executing a machine learning model on values within the digital document to identify a value among the values that is to be adjusted to a different value based on previous adjustments by the user to previous reports, activating a user interface element associated with the identified value within the user interface, and in response to a selection of the user interface element, instantiating a display of the different value on the user interface.

Intelligent adjustment of documents via machine learning

Provided are a system and method that use machine learning to identify documents to be excluded from a report or included in a report of a software application. In one example, the method may include receiving document data of a set of documents assigned to a report, executing the machine learning model on the received document data which identifies a document assigned to the set of documents that is to be excluded from the report, displaying, via a user interface, a set of line items corresponding to the set of documents, respectively, activating a user interface element of the identified document within a line item of the identified document, and in response to detecting a selection of the activated user interface element via the user interface, accepting the exclusion of the identified document from the report and move the identified document to a different report.

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Bellary, India

Kumar Priyam