- Forms, where you provided the input data or review the information
- Automation, allowing you to extract invoice data using Document Information Extraction service
- Approval flow to define the rules on how to select the approver
Enriched the information extracted from documents with existing master data, to match enrichment data entities with the extracted header fields from business documents that have content in headers and tables. To do so, used machine learning with Document Information Extraction, one of the SAP AI Business Services in SAP Business Technology Platform
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Created your own header and line item fields, and annotate sample documents to automate the extraction of information from standard business documents such as invoices and purchase orders, using machine learning with Document Information Extraction of SAP AI Business Services.
Created your own header and line item fields, and annotate sample documents to automate the extraction of information from custom documents (not supported out of the box) such as r�sum�s and power of attorney, using machine learning with Document Information Extraction of SAP AI Business Services.
Developed a business application using SAP Cloud Application Programming Model (CAP). Started on your local environment and deployed to SAP Business Technology Platform.
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Found out how to use the SAP Business Technology Platform service Document Information Extraction with generative AI to automate the extraction of information from any type of document using large language models (LLMs).
Used Document Information Extraction (a service of SAP AI Business Services in SAP Business Technology Platform) to process business documents that have content in headers and tables.
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