Case Study: faktur:digital saves 79% of document processing time with Rossum

faktur:digital saves 79% of its time on document processing for its clients with Rossum

faktur:digital is a German business service provider offering document management, workflow, input/output management, and archiving solutions. The company needed a more accurate invoice recognition solution after its previous OCR-based IDP system failed to deliver the extraction quality it expected, and it wanted a tool that could be seamlessly embedded into its own cloud software, faktur:box Archive. Rossum was selected after evaluating three providers because of its stronger AI results and embedded deployment option.

Rossum provided an embedded AI data-capture solution for invoice processing, starting with its pre-trained engine and serverless functions, then expanding to additional document types like delivery notes and order confirmations. Integrated microservices routed documents into Rossum for automatic extraction and human validation when needed. With Rossum, faktur:digital reduced document processing time by 79%, cut average manual handling to 30 seconds per document, and enabled customers to capture early-payment discounts of 3–5% while supporting planned annual growth of 15–20% in document volumes.

faktur:digital

Alexander Berndt

Cloud Engineer