Turn transport orders into usable TMS data
Hours manually entering order data from emails, PDFs, and attachments. A mistake in pickup location, date, or reference immediately affects planning.Field-level confidence checksMulti-model AI ensembleBuilt for transport orders
The Challenge
Average daily manual order entry per employee
Error rate in manual transport order entry
Of logistics costs tied to order handling
How does it work?
Transport order arrives
Step 1Orders arrive via email, upload, or API integration.
AI reads the order
Step 2Multiple AI models extract pickup, delivery, times, goods, and references.
AI validates
Step 3Business rules check order data and flag exceptions.
Order to your TMS
Step 4Validated transport order data flows into your TMS, ERP, or WMS.
Read transport orders, validate them, and prep them for export.
Every transport order goes through the same pipeline - extraction, cross-check against your planning rules, and feedback that makes the AI immediately smarter. This is what your team sees in production.
TRANSPORT ORDER
Polaris Containers B.V. · Rotterdam → Hamburg
Results & ROI
4+ hours
Manual order entry from emails, PDFs, and attachments into your TMS.
15 minutes
Automated order extraction, validation, and system update - only exceptions need attention.
From hours of order entry to minutes of review
Average time saving per employee per day for transport order processing.
“What used to take our team hours now moves through Chainfill automatically. We spend less time retyping data and more time on the work customers notice.”
Works great with
Combine solutions for end-to-end automation.
Turn Your Inbox into an Automated Workflow
AI reads, classifies, and routes your logistics emails - then drafts responses and updates your systems automatically.
Learn more →AI That Gets Smarter with Every Document
Learns immediately from corrections - gets smarter with every document you process.
Learn more →Frequently Asked Questions
Every field is processed with confidence scoring. Low-confidence fields are flagged for review, and corrections improve future results for similar orders.
PDF, scanned images (TIFF, PNG, JPEG), Excel, Word, and email attachments. The system processes transport orders through a unified pipeline.
Low-confidence extractions are flagged for human review with the specific field highlighted. Corrections are fed back into the AI, preventing the same error on future transport orders.
