Kedrion’s <\/strong>need was to re-engineer the document production system<\/strong>. The main objective was the automation of document <\/strong>processes and reporting<\/strong> to various regulatory bodies, minimizing manual entries, reducing the likelihood of errors and increasing the overall efficiency in corporate document management<\/strong>. The challenge included the automatic extraction of traceability data from PDFs<\/strong> of invoices, packing lists and quality certificates, characterized by a high variability of formats, and the validation of the extracted data. <\/p>\n Exprivia<\/strong>, a leading company in digital transformation, has designed and implemented an integrated solution to support Kedrion in the automation of document processes<\/strong>. The solution was based on a mix of advanced technologies, including SAP Fiori<\/strong>, AWS Textract<\/strong>, Natural Language Unstanding ( NLU<\/strong> ) and AI-Based technologies, to ensure efficiency and accuracy in data extraction and management<\/strong>. <\/p>\n During the project to improve Kedrion’s document system<\/strong>, Exprivia <\/strong>introduced specialized technologies to automate processes and reduce manual intervention. Thanks to these intelligent technologies and the involvement of the client company’s Global IT, it has been possible to automatically extract data from PDF documents<\/strong> from multiple suppliers, characterized by a high rate of variability both in the type of information and in the layouts of the documents themselves. <\/p>\n In addition, the use of advanced models has made it possible to organize the extracted information into coherent and easily manageable data structures. The accuracy of the data was ensured through validation methods that analyze the similarity between texts, ensuring a high level of reliability. The document systems re-engineering<\/strong> solution has been designed following a modular<\/strong> approach, in order to make it flexible both with respect to the target systems to be integrated and with respect to any technological upgrades. <\/p>\n Kedrion Biopharma<\/strong> has benefited from a significant optimization of document processes<\/strong> thanks to the integrated solution provided by Exprivia<\/strong>. The re-engineering and automation of the document system<\/strong> has led to a reduction in entry times, a decrease in the likelihood of human error and greater overall efficiency in corporate document management<\/strong>, allowing Kedrion to improve one of its key processes. <\/p>\n","protected":false},"excerpt":{"rendered":" What would happen to your company if we could guarantee that you would minimize manual entries and the likelihood of errors in the automatic extraction of data from PDFs<\/strong>, even with high format variability?<\/p>\n","protected":false},"author":2,"featured_media":8550,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[134],"tags":[141,149,138],"class_list":["post-8547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-history","tag-artificial-intelligence","tag-industrial","tag-sap"],"acf":[],"yoast_head":"\nExprivia Solution<\/h2>\n
Results<\/h2>\n