OperationsDocument Intelligence

Document Intelligence for Operations

The client was drowning in manual document processing — purchase orders, shipping manifests, invoices, and customs forms all required manual data entry. The process was slow, error-prone, and scaling linearly with headcount.

80–90%

Reduction in manual processing time

99%+

Extraction accuracy on core fields

Document throughput without adding headcount

CLIENT

A mid-size logistics and operations company processing thousands of documents per week

THE CHALLENGE

The client was drowning in manual document processing — purchase orders, shipping manifests, invoices, and customs forms all required manual data entry. The process was slow, error-prone, and scaling linearly with headcount.

THE SOLUTION

What we built and why

We designed and deployed an end-to-end document intelligence pipeline. The system extracts structured data from unstructured documents using a combination of layout analysis and LLM-based extraction, validates against business rules, flags exceptions for human review, and pushes clean data directly into the client's ERP.

DELIVERABLES

What we delivered

Multi-format document ingestion (PDF, image, email attachment)

Layout-aware extraction with field-level confidence scoring

Business rule validation engine with configurable thresholds

Human review queue for low-confidence and exception cases

Direct ERP integration with audit trail

Monitoring dashboard with extraction metrics and SLA tracking

HOW WE WORKED

From kickoff to production

01

Discovery & taxonomy

Catalogued all document types, fields, business rules, and exception cases. Established accuracy targets per field and document class.

02

Pipeline architecture

Designed a modular extraction pipeline: pre-processing → layout analysis → LLM extraction → validation → ERP push. Each stage independently observable.

03

Model development & evaluation

Built and evaluated extraction models per document type. Established ground truth datasets and measured F1, precision, and recall per field.

04

Production deployment

Deployed with full monitoring, SLA tracking, exception queues, and human review workflows. Ongoing model refinement based on production feedback.

Let’s identify the highest-leverage
system for your business.

We’ll review your workflows, prioritize the right opportunity, and define a practical path from concept to production.

Start a system review

Response within 1 business day.