Predictive Analytics

The CargoNet database collects an unparalleled volume and detail of data on cargo thefts. Combined with advanced analytics, this data offers great potential for investigative support and predictive modeling to improve risk management within the supply chain.

 CargoNet’s analytics will allow law enforcement , NICB and clients to:

  • analyze shifting crime patterns annually, quarterly, monthly, weekly, and daily
  • access real-time, customizable theft trend analyses
  • access reports based on day and time, location, commodity (using a three-tier categorization), and many other factors
  • benchmark crime levels against the flow of goods
  • compare cargo theft trends with other crime and demographic data
  • benchmark company-level theft statistics against industry trends
  • calculate the indirect costs of cargo crime

 Recovery Benefits

The analytics will make crime patterns visible to, and actionable by, law enforcement and NICB.

 

 

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