Freight keeps moving when the paperwork does.

AI-powered document automation for transportation and logistics operations.

super.AI validates, structures, and routes the bills of lading, proofs of delivery, invoices, and customs documents that gate every shipment, before they become a delay, a dispute, or an exception.

Transform manual data processing into profit-driven automation.

Bill of Lading & Proof of Delivery Automation

Every shipment moves only as fast as the paperwork behind it. super.AI validates bills of lading, proofs of delivery, and carrier invoices before they become a hold.

Freight Invoice & Carrier Onboarding Automation

Free operations and customer service teams from chasing missing or mismatched documents, so they can work exceptions, not data entry.

TMS, WMS & ERP Document Automation

Layer onto your existing TMS, WMS, and ERP investments. No rip-and-replace project, no new system to learn.

Freight Invoice Audit & Dispute Prevention

Prevent invoice disputes, billing exceptions, and claim leakage that trace back to bad or incomplete document data.

Top IDP Use Cases for Logistics

• Delivery Receipt Automation

Validate delivery receipts against the original order so discrepancies surface before they become a customer dispute.

• Freight Quote Automation

Extract freight quote data from carrier and broker documents in whatever format each one sends it.

• Purchase Order Automation

  Match purchase orders to invoices and delivery records automatically, reducing manual PO reconciliation.

• Customs Declaration Automation

Extract and validate customs declaration data before it holds up clearance at the border.

• Dangerous Goods Declaration Automation

Validate dangerous goods paperwork against shipment and compliance requirements before it ships.

• Bill of Lading (BOL) Automation

  Extract and validate bill of lading data automatically, matching it against the shipment record before a discrepancy reaches the dock.

Keep your data secure and compliant

super.AI offers enterprise-grade security.

• Support SOC 2 and GDPR compliance
• Granular role and user management
• Detailed audit trails and logs for each document

How CHI Cargo went from processing half its documents to all of them

CHI Cargo reduced manual review hours by 92% and went from reviewing 50% of documents to processing and validating 100%. The team now processes 200,000+ pages in under 2 minutes per file, and was live with super.AI in just 3 weeks.

Frequently Asked Questions

What is logistics document automation?

Logistics document automation uses AI to extract, validate, and route the paperwork transportation and logistics operations depend on, including bills of lading, proofs of delivery, invoices, and customs documents, so shipments, billing, and compliance move forward without manual data entry or a growing exception queue.

How does super.AI automate bills of lading and proof of delivery?

super.AI extracts and validates the data on each bill of lading and proof of delivery, matching it against the shipment record and flagging mismatches before they cause a hold. Documents are processed without a fixed template, so variation between carriers and customers does not break the workflow.

Does super.AI require replacing our TMS or WMS?

No. super.AI layers onto your existing TMS, WMS, or ERP as a validation step ahead of it, rather than replacing it. There is no infrastructure overhaul and no new system for your team to learn; validated data simply flows into the systems you already run.

How accurate is AI document extraction for freight and logistics paperwork?

Accuracy depends on the implementation, but CHI Cargo achieved 95% accuracy on real-world datasets during its pilot with super.AI. After rollout, the company reduced manual review hours by 92% and went from reviewing 50% of documents to processing and validating 100%.

How long does implementation take?

Implementation timelines vary by scope and document volume, but one customer, CHI Cargo, was live in three weeks. Because super.AI connects to your existing TMS, WMS, or ERP as a document layer rather than replacing it, most teams move from evaluation to a working proof of concept in weeks, not quarters.