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Refine your detection methods and improve your fraud detection capabilities

 

Configure standard consumption patterns 

 

Refine your forecasts with multiple iterations defining an anticipated pattern

 

Detect abnormal behavior

With which tools?

  • With consumption and risk modeling

    With graphs showing actual consumption and the risk of fraud for a defined period. Visualize the evolution of the estimated consumption according to your initially defined parameters.

  • With a refined results

    Thanks to the numerous iterations carried out by our machine learning solution, we refine the understanding of the results and remove atypical values. Thus defining a level of consumption corresponding to a common behavior.

  • With the definition of confidence indexes

    Thanks to this scoring system, you can quantify and highlight sequences likely to contain fraud, whether for excessive or moderate consumption.

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