Automate Your Logistics Audit: From Bill of Lading to Sales Order

Yes. AI document processing handles the messy reality of logistics documents, including handwritten reference numbers, stamps, signatures, and annotations commonly found on bills of lading and delivery receipts. The extraction engine recognizes handwritten text alongside printed content, pulling data like PRO numbers, weight, piece counts, and shipper information regardless of how the document was filled out.

Automated BOL processing uses AI-powered fuzzy matching to compare extracted data from bills of lading against corresponding records in your TMS or ERP. Unlike exact string matching, fuzzy matching resolves discrepancies caused by truncated data, abbreviations, or formatting differences between the shipping document and your system of record. When the system finds a match, data flows through automatically. When it cannot, the record is flagged for human review.

AI document automation processes the full range of logistics and supply chain documents, including bills of lading, packing slips, carrier invoices, proof of delivery receipts, shipping manifests, and customs declarations. Each document type contains different fields—weights, piece counts, PRO numbers, freight charges, delivery dates—and the extraction engine identifies and captures the relevant data regardless of carrier format or document layout.

When the AI extraction or reconciliation process encounters a record it cannot confidently match—a missing reference number, an ambiguous weight entry, a document that does not correspond to any open order—it flags that record for manual review rather than passing through incorrect data. You can configure custom exception handling rules based on your specific workflows, including confidence thresholds for automatic matching versus human review.