Facts and figures
Risk AssessmentThe situation CASSANDRA faced at the start of the project was the current border control agencies’ supervision model. This model (subject to customs control regimes) paid special attention on the entry (or exit) processes corresponding with the entry (or exit) of consignments. The organization to fulfil obligations for legal trade was done independently by customs organisations and economic actors leading to the situation faced. Even past developments, like mandatory pre-arrival declarations (the so-called Entry Summary Declaration (ENS)), the AEO-framework and the WCO SAFE Framework describing potential reuse of improved upstream controls (exit/export) have marginally improved the situation until CASSANDRA started.
On the one hand having data using accurate source data had potential for better risk targeting and more efficient information gathering in transactions requiring enhanced visibility. This led to considering strategies to realise better connectivity to this accurate source data by border agencies. As an example Dutch Customs conducted the development of a new procedure for importers for optional dual filing additional information and ways to provide additional information in the free field in the ENS declaration protocol. For realisation towards demonstration in a Living Lab the global data pipeline and corresponding dashboard were developed and helped to identify specific challenges.
On the other hand business controls received profits by further developments based on the piggy backing concept. The additional profits based on a strong focus on recognition of the effectiveness of internal business control measures in managing customs risks. However, many vulnerabilities for customs risks go beyond the direct sphere of influence of individual chain actors and require chain control measures.
CASSANDRA demonstrated by validating data accuracy using a multiple-eyes auditing principle comparing the same data elements from different sources along the value chain is beneficial towards many private companies aims. One practical example in a Living Lab was the tallyman at the container stuffing point who validated the packing list information of a container also by using a three-way match.
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 261795
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