Automating freight documents with generative AI
How a freight forwarder could extract and validate data from bills of lading, invoices and customs documents.
The situation
A freight forwarder processes thousands of shipping documents each week in many formats. Staff manually key data into the transport management system, causing delays, errors and billing disputes.
Our approach
Collect samples
Gather representative documents for each type, carrier and language.
Extract with GenAI
Use document AI and language models to extract structured fields with confidence scores.
Validate automatically
Cross-check extracted data against bookings, rates and customer records.
Review exceptions
Route low-confidence or mismatched documents to staff in a review queue.
Post to the TMS
Write validated data to the transport management system via API.
Typical technology
What success looks like
Metrics we would agree with you up front and track throughout:
- Documents processed without manual keying
- Processing time per document
- Data-entry error rate
- Billing disputes
- Staff hours redeployed
This is an illustrative scenario showing how Inspired Infotech approaches this type of problem. It does not describe a specific client, and actual approach and outcomes depend on each organisation’s systems, data and goals.
Services behind this scenario
Generative AI
LLM-powered assistants, RAG search and content automation — secure, grounded and enterprise-ready.
Learn moreAgentic AI
AI agents that plan, use tools and complete multi-step work — with humans in control.
Learn moreAWS Cloud Services
Migration, modernization, serverless, data and GenAI on Amazon Web Services.
Learn moreFacing a similar challenge?
Let’s talk about your situation and what a realistic plan looks like.