The Challenge
A mid-size logistics company was drowning in paper — invoices, shipping manifests, customs declarations, and compliance documents arrived in dozens of formats. Their team spent 30+ hours per week manually extracting data and entering it into their ERP system, with a 12% error rate that caused downstream billing issues.
Our Approach
We built DataPulse as a modular AI pipeline: documents enter the system via email, API, or manual upload. Our OCR and NLP models extract structured data, validate it against business rules, and push clean records directly into their existing systems — with human review only for edge cases.
Key Features
- Multi-format document ingestion (PDF, images, email attachments)
- AI-powered extraction with 97% accuracy on trained document types
- Configurable validation rules and exception handling workflows
- Real-time dashboard showing processing status and error rates
- REST API for integration with ERP, CRM, and accounting systems
Results
DataPulse reduced document processing time by 85%, brought the error rate down from 12% to under 2%, and freed up the equivalent of one full-time employee's worth of manual data entry work every week.