Document Information Extraction
Many employees struggle with time consuming unstructured documents. With the use of the SAP AI Business Services: Document Information Extraction, not only time can be saved, but also the efficiency can be improved, costs for shared services can be reduced, and the productivity of processing data can be increased. With Document Information Extraction, unstructured data will be transformed into structured information by using AI-based document processing as well as embedding information into your business processes for instant value.
In several steps, relevant information, such as quantities, currencies, dates, or line items, are extracted from documents, enriched with relevant business data to finally embed the generated information into existing systems and processes. After a document is uploaded, the extraction results are returned form the header fields and line items. As an example, the extracted data can be used to automatically verify that invoice and payment match.
Before using Document Information Extraction, employees are often spending most of their time processing large amounts of incoming invoices from various suppliers. In order to process these invoices, they have to read through them, make themselves familiar with the context, and maintain needed or missing data, such as invoice number or currency, in the corresponding accounting system. Document Information Extraction reduces this overhead. It automatically extracts relevant data from the invoice and enriches the extracted data with additional information, such as by matching the sender information from the invoice to supplier master data.
Learn more about SAP AI Business Services: Document Information Extraction in the official product documentation: https://help.sap.com/docs/DOCUMENT_INFORMATION_EXTRACTION?locale=en-US