Intrastat data rarely lives in one place

ERP systems hold invoices, orders, business partners, and material records, but Intrastat reporting may also depend on warehouse movements, logistics data, manual classifications, and country-specific mappings. The monthly challenge is bringing these sources together without losing the connection to the original transaction.

A robust process starts by defining which movements belong in arrivals or dispatches. It then gathers the required fields, normalizes formats, enriches missing reporting attributes, and validates each line before creating the submission file.

Build a repeatable data pipeline

The core stages are:

• Extract relevant purchasing, sales, stock, and logistics records
• Remove excluded or duplicate movements using documented rules
• Map master data and country-specific reporting fields
• Enrich missing commodity, transaction, quantity, and value information
• Validate records and route exceptions for review
• Generate the required XML, CSV, ASCII, or portal-ready output

Intrastat.ai can receive data through ERP and WMS integrations, APIs, or structured Excel and CSV uploads. This lets teams begin with the sources they already have and automate further when the process is ready.

Keep corrections traceable

Corrections should not disappear into a final spreadsheet. A useful reporting workflow records which source value changed, why it changed, who approved it, and whether the correction should update upstream master data.

That feedback loop improves both the current declaration and the next reporting period. Repeated missing fields can become mapping rules, while recurring anomalies can reveal a process or master-data problem.

Submission-ready means more than exported

Generating a file is the last technical step, not the definition of quality. A submission-ready declaration has passed structural and business checks, uses the current country format, contains documented review decisions, and can be reconciled to its source transactions.