Increasing data analytics
HM Revenue and Customs (HMRC) is increasing its use of data analytics to identify customs non-compliance. With compliance yield now at record levels, businesses are no longer selected for audit at random. They are being targeted based on risk indicators.
If a business is flagged, HMRC may request supporting documentation covering classification, origin, and valuation. This can lead to a desk-based review or a full audit. HMRC typically reviews up to three or four years of historical declarations and may issue duty reassessments and financial penalties where errors are identified.
To reduce risk, businesses should standardise their commodity code classifications, validate valuation methodologies (particularly for intercompany transactions), and ensure robust origin evidence is maintained. Regular review of CDS data to identify inconsistencies is critical, alongside implementing a structured customs compliance framework.
HMRC audits are no longer reactive. They are data-driven and targeted. If your data tells the wrong story, your business becomes the next audit.
If you are concerned about your audit exposure, Frontiera can support with a structured customs audit risk review to identify issues before HMRC does.