Enabling you to identify and mitigate the intrinsic risk in your operations, supply chains and business processes.
Evaluating how your products and services meet and exceed quality, safety, sustainability and performance standards.
Validating the specifications, value and safety of your raw materials, products and assets.
The Intertek Risk Management System, SARA™ (Selectivity And Risk Assessment), is a highly sophisticated selectivity programme.
Risk Management System
It uses historical data to target interventions on those transactions that are most likely to be fraudulent or contain a security risk. This enables a Customs Administration to implement one of the key principles of the Kyoto Customs Convention, that relating to theuse of risk analysis. Once the historical data has been analysed, SARA™ identifies all the key data relationships associated with fraud. This is used to build a complex model against which all future transactions can be assessed.
When import data is entered into the Customs system, it is automatically assessed against the SARA™ model, in just a few seconds. SARA™ responds with a risk rating. This can be converted into a Red-Amber-Green intervention, with risk bands set by Customs Management.
SARA™ assessments can be enhanced by local information input by Customs staff. This can be used to increase (but not decrease) particular risk factors. In addition, SARA™ comprises a completely random element, to ensure that a few full assessments are still performed on trade that would be regarded as low risk. This is vital to ensure that the integrity of the model is maintained.
The SARA™ model is regularly updated using the results of new interventions. It can therefore ”learn” and adapt as the patterns of trade fraud change.
SARA™ has been developed using an advanced artificial intelligence technology incorporating neural networks and data mining. These mean that the model can be created using any of the vast range of data that exists in most Customs systems. This will include the more obvious risk factors such as named importer, named exporter, country of supply, type of commodity, and transit routing. In addition, SARA™ will look for any other factors that can be correlated with fraud. This might include date relationships between date of shipment and date of arrival. It also applies sophisticated statistical techniques to transform and combine selected parts of the declared shipment information with proven compliance and proven non-compliance
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