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YARWELLTechnologies
Concept project

Procurement Document Intelligence

An AI pipeline that extracts, validates and classifies data from tenders, invoices and contracts for faster, more consistent review.

Industry
Government & Public Sector
Category
AI Solutions, Enterprise Software
Type
Concept project

This is a concept project created to demonstrate YARWELL's approach. It does not describe a client engagement, and the interface shows illustrative data only.

Project details

The challenge

Procurement teams handle large volumes of documents in varied formats. Manual data entry is slow and error-prone, and inconsistencies across bids, invoices and contracts are easy to miss.

Our approach

Documents pass through OCR and layout analysis before a language model extracts structured fields against a defined schema. Validation rules flag mismatches, and reviewers confirm or correct each result; corrections are retained to improve accuracy over time.

Key features
  • OCR for scanned and digital documents
  • Schema-based field extraction
  • Cross-document validation rules
  • Human review queue with corrections
  • Searchable archive of processed documents
Solution architecture
  1. 1IngestionUpload portal and email intake with virus scanning
  2. 2ProcessingOCR, layout analysis and LLM extraction in Python
  3. 3ReviewReact review queue with side-by-side source view
  4. 4StoragePostgreSQL records and encrypted object storage

Have a similar challenge?

Tell us about the problem you are solving. We will share how we would approach it and what a first phase could look like.