Innovative Data Analytics, Data Sources and Architecture for EU Customs Risk Management


PROFILE ( ) is a European H2020 project that leverages modern data analytics and new data sources for effective customs risk management.

  • Applies innovative machine learning, graph-based analytics, and natural language processing to customs processes, helping targeting officers and strategic analysts identify high-risk cross-border movements.
  • Connects Customs Risk Management systems to logistics Big Data and provides customs an improved access to online data, especially valuation-relevant data of e-commerce sites.
  • Establishes an EU-wide PROFILE Risk Data Sharing Architecture with embedded support for data protection (GDPR compliant) that strengthens the cooperation and data exchanges among customs and other competent authorities, enabling secure customs-to-customs systematic sharing of risk-relevant information like threat priorities and control results. Enables the reusability of data analytics among customs authorities, including learning from each other’s data.
  • With PROFILE solutions, customs administration can increase substantially the hit rate of inspections and their capacity to cope with transnational crime, terrorism, and the dramatic e-commerce-driven growth of customs declarations.

The PROFILE solutions are thoroughly tested for their technical viability and the economic value of the new data-driven risk management solutions in real-world conditions, in what is called Living Labs:

  • The Dutch Living Lab performing web data retrieval collects product price information from web stores and checks the accuracy of the declarations comparing average prices to the declared product values.
  • The Belgian Living Lab develops new risk indicators for profiling economic operators and improving current targeting models. It performs behavior analysis, identifying patterns and trends in the behavior of economic operators based on
  • historical data and extracts risk relevant information.
  • The Sweden-Norway Living Lab seeks to upgrade customs import/export risk assessment at the Swedish-Norwegian border. It studies the opportunities for and the barriers to exchanging import and export declaration data and Risk-Relevant information between EU and non-EU countries. Based on the control outcomes Customs may teach their targeting system to identify incidents of illegal cross-border movements.


PROFILE develops a roadmap from the Living Labs towards the implementation and upscaling creating a Value Analysis Framework that identifies the interdependencies and the trade-offs between the various types of data analytics that can be applied at various stages of customs processes.



The Role of Inlecom: Inlecom is a technology partner in PROFILE, participating in the tasks for data analytics solutions, block chain technologies for safe and secure data sharing, and the Generic PROFILE architecture for risk data sharing.

Customs Partners: Netherlands, Belgium, Norway, Sweden, Estonia
Other Partners: Cross-border Research Association (Coordinator), IBM, Inlecom, Joint Research Centre (JRC), Netherlands Organisation for Applied Scientific Research (TNO), the Norwegian Defence Research Establishment (FFI), the Swedish Defence Research Agency (FOI), TU DELFT, University of Lausanne

Twitter: @PROFILE_EU

  • Date
    January 31, 2020
  • Date
    December 19, 2018
    New ICT Infrastructure & Reference Architecture to Support Operations in Future PI Logistics Networks (ICONET) has been established to explore and create innovative PI network services that optimise cargo flows against throughput, cost and environmental performance.
  • Date
    December 19, 2018
    Big Data for Mobility Tracking Knowledge Extraction in Urban Areas (Track and Know) is a Horizon2020 project, with a focus on Big Data which will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data in the transport, mobility, motor insurance and health sectors.
  • Date
    December 12, 2018
    Smart Tracking Data Network for Shipment by Inland Waterway (ST4W) proposes a management solution for shipment by inland waterway transport, providing to small stakeholders a simpler and cheaper access to secure data, and enabling them to share a hierarchical track & trace service of shipment, complementing the RIS.
  • Date
    December 7, 2018
    MaaS4EU (Mobility as a Service 4 EU) is a user-centric, intelligent mobility distribution model, in which users' needs are met via a single platform and are offered by a service provider, the mobility operator. MaaS4EU provides a design method and a MaaS platform supporting a unified approach towards ITS
  • Date
    December 7, 2018
    Multicycle (Advanced and sustainable recycling processes and value chains for plastic-based multi-materials) delivers an industrial recycling pilot plant for thermoplastic-based multi-materials allowing selective recovery of pure plastics and fibres from mixed wastes without downgrading as a key enabling step towards the realization of a circular plastics economy.
  • Client
    client 1
    February 9, 2018
    View website
    CHARIOT (Cognitive Heterogeneous Architecture for Industrial IoT), provides a design method and cognitive computing platform supporting a unified approach towards Privacy, Security and Safety (PSS) of IoT Systems.
  • Date
    May 18, 2017
    SAFEPOST aims to raise the current level of postal security by integrating innovative screening solutions suitable for uninterrupted flow of the enormous volumes of parcels and letters with operational postal processes and the criminal and customs intelligence work in a European wide cooperative distributed model.
  • Date
    May 18, 2017
    COMCIS was a two-year project to explore the possibilities and commercial viability of employing situational awareness tools to solve problems of data fragmentation, delay and inconsistency throughout the global supply chain.