Global enterprises receive purchase orders in varied formats, PDFs, scanned images, XML, Excel, and EDI, which makes extraction and standardization challenging. Legacy OCR systems are designed primarily for static PDF or image formats and fail to process structured and semi-structured digital-native formats. This results in high manual review effort, slower procurement cycles, and increased error rates.
AI-powered multiformat processing enables automated extraction of purchase order data across diverse formats through adaptive parsing and normalization. By supporting both traditional and digital-native formats, enterprises reduce manual intervention, streamline procurement operations, and ensure higher accuracy.
This total cost of ownership calculator helps you evaluate the true ROI of the category using modern AI powered alternatives over traditional OCR based solutions.
Key Use Cases:
Multi-Format Document Processing
Processes purchase orders across formats such as PDF, images, XML, Excel, and EDI with adaptive parsing.
Batch Document Processing
Processes large volumes of purchase orders in bulk with parallel extraction to support centralized operations.
Start by selecting a typical scenario or adjust the baseline details to reflect your exact needs. The calculator will update automatically.
Legacy OCR achieves 80% accuracy and struggles with structured formats like XML, Excel, and EDI. As a result, procurement teams must manually verify and correct extracted data, driving up costs and delaying order processing.
Modern AI combining OCR, NLP, and adaptive parsing achieves 92% accuracy ±2% across multiple formats. While this reduces the need for manual intervention, generic AI cannot always detect parsing inconsistencies, requiring verification before final integration into procurement systems.
Your AI investment isn’t delivering expected savings. This may indicate inefficiencies or incorrect assumptions in your current workflow.
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