A scalable document data extraction platform that accurately processes procurement invoices and business documents, extracts key fields, validates financial data, and delivers structured information to external systems via integrations.
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AI-powered document data extraction system
- RegionGlobal
- Duration2025
- Services
- Industry
Enhancing efficiency through intelligent document automation
This case study demonstrates how an AI-powered document automation with intelligent data extraction replaced manual processing with a centralized, automated workflow. By extracting structured data directly from invoices and financial documents, the solution reduced operational friction, improved data consistency, and accelerated document-driven decision-making across procurement and supply chain workflows.
The solution combines AI-driven data extraction with human-in-the-loop validation, ensuring both speed and reliability for document-driven operations. This approach is especially critical for supply chain and sourcing processes, where data accuracy directly impacts cost control and supplier performance.
As a result of the implementation:
- Manual data entry effort was reduced by approximately 70-75%
- Average document processing time dropped to seconds instead of minutes
- Data accuracy reached over 90% due to AI-based validation and confidence scoring
- Document throughput increased by up to 3x without expanding operational teams
Operational challenges in document processing
Organizations dealing with invoices, procurement documents, and supply chain-related financial records often rely on manual review and data entry. Document formats vary between suppliers, and critical information such as totals, taxes, and vendor details is frequently positioned inconsistently.
The main challenge for Adexin was to design a system capable of accurately recognizing diverse document layouts, extracting key financial and metadata fields, and validating results with confidence scoring. The solution also had to provide visual verification and support seamless integration with existing business systems used in procurement, logistics, and supply chain management.
Client overview
The client (name under NDA) is a large international company operating in supply chain, procurement, and sourcing services. The company processes high volumes of financial and commercial documents, primarily invoices, contracts, and supplier documentation, supporting multinational enterprises across multiple industries.
Handling tens of thousands of documents each month, the client’s operations require accurate data extraction, strict compliance, and seamless integration with accounting and ERP systems. Supporting procurement and logistics operations across multiple regions, as part of its digital transformation strategy, the company invests heavily in intelligent automation, AI-driven data processing, and scalable cloud solutions to improve efficiency, reduce operational risk, and support continued business growth.
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We built an AI-powered document data extraction system
- Document upload & processing. Users can upload invoices and business documents in various formats, which are automatically processed by AI models.
- Document preview. Each document is displayed in an interactive viewer, allowing users to visually verify extracted data directly against the original file.
- Field extraction. The system automatically detects key fields such as supplier name, invoice number, dates, and financial totals, including supplier and procurement-related data.
- Cost information extraction. Financial data, including subtotals, taxes, and total amounts, is accurately identified and structured for downstream use.
- Confidence scoring. Each extracted field is assigned a confidence score, enabling fast validation and reducing manual review.
- Data structuring. Extracted information is transformed into structured formats suitable for accounting, ERP, and operational systems.
- System integrations. The platform supports API-based integrations, allowing extracted data to be transferred into any required internal or third-party system.
- AI with human-in-the-loop. Extracted data is supported by confidence scoring and optional human validation, ensuring reliability for critical financial and operational workflows.
Adexin engineers developed a scalable AI-powered document data extraction platform to automate the recognition and structuring of data from business documents used in procurement, supplier management, and supply chain workflows. The system replaced manual data entry workflows, improved data accuracy, and enabled seamless transfer of extracted information into external business systems.
How it works
*The image is for illustrative purposes only due to NDA restrictions
Technology stack
The combination of technologies we used to complete this task.
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Our clients say “They delivered exactly what we were looking for and stayed within the budget.” Eli Edri COO at GAMP