How accurate is AI-powered customs data extraction?

Cervo achieves near-perfect extraction accuracy on well-formed documents like clean PDFs and structured spreadsheets. On challenging inputs like rescanned or handwritten documents, accuracy maintains a high baseline. Every field includes a confidence score.

How is this different from OCR?

Traditional OCR reads characters but does not understand context. It cannot determine that a number is a unit price versus a weight, handle European decimal notation, or split multi-page PDFs by document type. Cervo's AI understands document structure, maps fields contextually, and validates data against domain-specific rules.

Platform

Document AI Built for Customs

Cervo's Agentic AI extraction engine reads customs documents the way an experienced broker would - understanding context, structure, and meaning across any format. No templates. No pre-training.

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Templates needed

Any Format

PDF, Excel, handwritten, scanned

The Challenge

The Data Challenge in Customs Brokerage

Every shipment arrives with documents in different formats from different shippers. Your team manually reviews each page, keys data into your ABI system, and cross-checks values across documents - all before classification and compliance work even begins.

The challenge compounds at scale. New importers bring new document formats. Staff turnover means re-training. And every manually keyed field is another opportunity for a costly error.

Industry Reality

The average customs entry requires data from multiple separate documents. The majority of total entry processing time is spent on data extraction and keying alone - before any classification or compliance review takes place.

Compare

Why Traditional Approaches Fall Short

Legacy OCR tools promised automation but delivered a different set of problems. Template-based systems break whenever a new shipper or format appears - which, for active brokerages, happens daily.

Capability	Manual / Legacy OCR	Cervo Document AI
New document formats	Requires template setup	Handles out of the box
Handwritten / rescanned docs	Fails or low accuracy	High baseline accuracy
Multi-document cross-referencing	Manual comparison	Automatic matching
Decimal / comma format handling	Common error source	Auto-detects and converts
Document classification	Manual sorting	AI auto-classifies
Confidence scoring	None	Every field scored with explanation
Scaling to new importers	Weeks of template building	Immediate, zero configuration

How It Works

How Cervo's Document AI Works

Upload a PDF commercial invoice from a new shipper, a JPEG of a handwritten packing list, or an Excel spreadsheet with merged cells. Cervo extracts the structured data you need without any setup.

Ingest

Documents arrive via email forwarding, drag-and-drop upload, or API. Supported formats include PDF, PNG, JPEG, Excel (.xlsx, .xls), CSV, handwritten documents, rescanned copies, and multi-page combined files.

Classify and Split

Receive a 40-page PDF containing three commercial invoices, two packing lists, and a bill of lading? Cervo automatically splits and classifies each section into its correct document type. No manual page-range selection required.

Extract

Cervo's Agentic AI reads each document and pulls structured data: line items, quantities, values, weights, part numbers, shipper details, and every other field your entry workflow requires. Every field carries a confidence score with a plain-language explanation, and entry writers can pull up the source document side-by-side for verification.

Validate and Match

Invoice line items are automatically matched against packing list weights and quantities. BOL transport details are linked to arrival notice data. Discrepancies are flagged with clear explanations before they become downstream compliance issues.

Use Cases

Built for How Documents Actually Arrive

Real shipments do not arrive as a single, neat package. Cervo handles the messy reality of customs document flow.

Email Streaming

Forward emails to a shared Cervo inbox and the AI automatically pulls documents from attachments, matches them to the right declaration, and begins processing. Documents are sorted into the correct file group as they arrive.

Retroactive Uploads

Add documents to existing declarations at any point - even after processing has started. Cervo retroactively fills in data gaps and cross-references against everything already extracted for that entry.

Cross-Document Matching

Invoice values are automatically reconciled against packing list weights and quantities. When a declared weight conflicts with the packing list, Cervo flags the discrepancy before it reaches your ABI system.

Format Intelligence

European decimal and comma format conversions are handled automatically. Currency symbols, unit abbreviations, and date formats from any country are normalized to your ABI system's expected format.

Output