Streamlining Customs with IDP: What Every Customs Agent Needs to Know

The most common customs document errors include discrepancies between declared values and commercial invoice amounts, incomplete certificates of origin, mismatches between packing lists and actual goods, incorrect HS code classification, and non-compliant ENS filings under ICS2 requirements. IDP addresses these issues by automatically cross-validating extracted data against regulatory rules before submission, flagging inconsistencies for agent review, and reducing the reliance on manual data entry that introduces these errors in the first place.

IDP automates pre-arrival processing by ingesting documents from multiple sources, including scanned PDFs and emailed attachments, and extracting key data fields automatically. It captures consignor and consignee details, country of origin, product descriptions and customs values, and any HS codes present in the documentation. Additionally, it flags missing or suspicious data before agents submit pre-arrival notifications, ensuring clearance is not delayed by incomplete information when goods approach the border.

IDP reduces import declaration errors by extracting commodity codes, Incoterms, customs values, gross and net weights, and importer and exporter EORI numbers from source documents, then cross-verifying them against the rules engine of the relevant customs system. For UK CDS submissions, this validation prevents rejections caused by misclassified codes or incorrect duty calculations. For Irish AIS filings, it ensures data consistency between commercial invoices, packing lists, and declaration fields before submission.

IDP supports NCTS transit operations by extracting key data from Transit Accompanying Documents, Movement Reference Numbers, CMR consignment notes, and other transport documentation. It maps extracted data into the fields required for NCTS declarations, reducing the manual effort involved in entering route information, customs office references, and bonded warehouse details. Accurate, automated data extraction helps prevent documentation errors that could stall shipments at border crossing points during transit operations.