Knowledge Interaction
Document Intelligence (Knowledge Interaction)
Client: Logistics and Supply Chain Enterprise
Executive Summary
Challenge: Daily processing of 5,000+ invoices and manifests required a massive data-entry team.
Solution: A platform that reads, classifies, and extracts data from complex documents into structured formats.
Results: 90% faster processing and 99.5% accuracy.
The Challenge
Manual entry was slow and error-prone. Traditional OCR failed when layouts changed or text was slanted.
Variety of Formats:Template-based tools were useless against differing layouts.
Data Silos:Knowledge in scanned PDFs wasn't searchable.
Scalability:Peak seasons required temporary staff for data typing.
The Solution
Uses 'Vision-Language' models to understand document structure like a human would.
- Zero-Template Extraction: Automatically finds Total Due, PO Numbers, and SKUs.
- Conversational Access: Users ask the document questions like 'Is a discount applied?'
- Anomaly Detection: Flags fraudulent or inconsistent invoices.