Unifiedpost automates procurement document data capture with Document AI
Unifiedpost, a Belgian fintech company serving customers across Europe, needed to process high volumes of invoices, receipts, and other procure-to-pay documents across multiple languages and countries. The manual capture process created operational overhead and limited the speed and accuracy of document processing for its procurement workflows.
- Organization
- Unifiedpost
- Industry
- Finance
- Location
- Belgium
- Published
- October 2020
Reported outcomes
+250%
accuracyQuality & accuracy
Strategic outcomes
Catalog median for quality & accuracy deployments: +90% across 270 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1Document processing
- 2Intelligent automation
- 3Workflow automation
- High-volume procure-to-pay document processing was costly and labor-intensive.
- Unifiedpost needed better extraction accuracy and support for rapid multi-language expansion across European markets.
- Unifiedpost deployed Google Cloud Document AI Procurement DocAI to automate capture of invoices, receipts, and other procurement documents.
- The solution turned unstructured documents into structured data that could be integrated into existing workflows.
- Google Cloud's specialized parsers used OCR, computer vision, and natural language processing to improve extraction quality and support multi-language processing.
- Unifiedpost reported up to 60% lower total cost of ownership for procure-to-pay processing.
- The company reported a 250% improvement in document extraction data accuracy.
- Google delivered French and Dutch language support in less than a month, helping Unifiedpost expand regional processing capabilities.
Architecture
Google Cloud Procurement DocAI processed invoices, receipts, and other procurement documents, applying OCR, computer vision, and natural language processing to convert unstructured content into structured data for Unifiedpost's existing workflows.
Sources & evidence1
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