Automating Freight Documentation for a Mid-Market Logistics Provider

We trained document models on the operator's own paperwork — bills of lading, proofs of delivery, and carrier invoices — so the system learned the specific layouts, carrier formats, and field conventions the team handled every day, rather than relying on a generic template. Each incoming document is classified by type and its key fields are extracted with an associated confidence score. Documents that clear the confidence threshold flow straight through and auto-populate the transportation management system (TMS), so shipment, billing, and settlement records are created without manual keying. Anything below the threshold is routed to a low-confidence exception queue, where a single reviewer resolves the edge cases instead of the whole team touching every document. This reframed the work from bulk data entry to focused exception handling. Routine, well-structured paperwork is processed automatically, the data-entry team is redeployed to judgment-heavy exceptions and carrier follow-ups, and the billing pipeline moves on clean, validated data from the moment a document arrives.