Shipping & Logistics Document Extraction.

Freight and fleet operations run on documents that were never designed to be machine-read: bills of lading, packing lists, and repair or service quotations, each carrier or workshop using its own layout, column order, and terminology. Shipping and logistics document extraction exists to normalize all of that into one structured schema.

A 3PL or freight forwarder working with dozens of carriers can't build and maintain a template for each one. Axia Extract reads document structure directly with AI, so a new carrier's bill of lading or a new workshop's quotation format works without a rebuild, the same schema applies across every source.

Freight and 3PL teams use it to read bills of lading and packing lists without a template per shipping line. Fleet operators use it to normalize parts, labor, and totals from each workshop's PDF into one schema and sync the result into a fleet management system through the REST API, a workflow covered step by step in our fleet service quotation guide. Warehouse and receiving teams use it to match delivery receipts against purchase orders without re-keying line items at the dock.

Axia Extract publishes its benchmark accuracy openly: 98.2% average field accuracy and 99.9% on financial totals, tested against SROIE2019, a public dataset of 347 real documents and detailed on the accuracy page. Handwritten fields, common on delivery receipts and site-visit notes, average 93.2% accuracy. Every field returns its own confidence score, so a low-confidence line item routes to review instead of getting accepted silently.