Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Detecting vehicle crime risks in customs declarations

This algorithm helps Customs select goods for inspection based on customs declarations and risks. It uses declaration data from companies and considers whether or not there are any increased risks that could indicate the export of stolen vehicles from the European Union.

Last change on 9th of December 2024, at 13:21 (CET) | Publication Standard 1.0
Publication category
Impactful algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

Public Order and Safety

Begin date

03-2019

Contact information

algoritmeregister@douane.nl

Link to publication website

https://www.belastingdienst.nl/bibliotheek/handboeken/html/boeken/HVGEM/voertuigcriminaliteit.html

Responsible use

Goal and impact

The purpose of this algorithm is to more efficiently select which customs declarations may relate to the exit of vehicles stolen in the European Union. The algorithm identifies which customs declarations are about goods with a risk that the exported vehicles have been stolen. The algorithm helps select customs declarations that Customs can check. Customs checks companies more or less based on the results. By using this algorithm, declarations are handled more efficiently, resulting in declarations being checked faster and possibly released faster.

Considerations

Customs processes 700 million declarations annually, including those focusing on vehicle crime. With this algorithm (risk profiles), Customs can assess customs declarations more efficiently and faster than without using this algorithm. Thus, customs declarations are approved or checked faster. And goods are released faster. Also, the algorithm ensures that 'known and trusted' companies are actually checked less.

Human intervention

If a declaration yields a match with a risk profile, a customs officer reviews the declaration. And asks for more information if necessary. The decision to approve a declaration, or to start checking it, is taken by a human being.

Risk management

A risk profile is always developed and checked by at least two customs staff before use. This is the 4-eye principle. And once the profile is in use, a weekly check is made for a profile to see how many declarations produce a match. If necessary, the profile can be adjusted. Periodically, Customs checks per profile whether it is still necessary to refine, extend or terminate it. Customs monitors internal and external complaints and incidents, for example if a profile is insufficiently specific and therefore designates too many declarations as higher risk.

Legal basis

Legal basis for vehicle crime control is in the Union Customs Code (DWU) and the General Customs Act. The use of risk profiles in general is based on Article 46 DWU. This states that customs controls must rely primarily on risk analysis by electronic data processing techniques.

Links to legal bases

  • www.belastingdienst.nl/bibliotheek/handboeken/html/boeken/HVGEM/voertuigcriminaliteit.html: Voertuigcriminaliteit
  • https://eur-lex.europa.eu/legal-content/NL/TXT/PDF/?uri=celex:32013R0952: Douanewetboek van de Unie

Operations

Data

The algorithm uses data from the goods declaration. For example, type of goods, commodity code, document code, weight, number of packages, consignee, declarant, consignor, country of consignment, EORI number, means of transport, etc.

Links to data sources

https://www.belastingdienst.nl/wps/wcm/connect/bldcontentnl/belastingdienst/douane_voor_bedrijven/naslagwerken_en_overige_informatie/andere_onderwerpen/gegevensvereisten/: Gegevensvereisten douaneaangiften (zie Bijlage B Gedelegeerde Verordening Douanewetboek van de Europese Unie + Bijlage VIa van de Algemene Douaneregeling)

Technical design

The algorithm consists of decision rules created in collaboration with content experts. These decision rules provide estimates of which declarations have a higher risk of exporting stolen vehicles. These decision rules are based on 'if-then-else' combinations. An example: if (if) the information we have on a consignment shows that the goods have an abnormal weight, (then) we manually check the declaration and the consignment may be selected for extended inspection. If the goods do not have an abnormal weight (else), we do not stop the shipment. Or at least not based on this criterion.

External provider

Internally developed

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