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Headquarters

GENNEX LLC.
1715 Lundy Ave Ste 192 - 1082,
San Jose, CA 95131

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844-604-6464

info@grennex.com

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  • info@grennex.com
  • 844-604-6464

 

 

 

AI & Blockchain

GRENNEX TMS will be AI & Blockchain enabled to enable Shippers, Carriers, Freight Brokers, Owner Operators, Drivers to focus on their core business instead of trying to figure out how to use a new software. With the advent of AI & Blockchain, Drivers will get speech enabled point to point directions from Load pickup to drop off. Drop & hook scenarios will be eased and profitable with GRENNEX. Carriers will be able to pick up Loads that are profitable so that they are able to survive in an industry where margins are extremely thin.

GRENNEX AI & Blockchain functionalities will enable the following:
  • Automatic Load assignment to drivers based on their availability, location, driving records etc.
  • AI based speech enabled GRENNEX software to find nearest truck stops, repair Shops, rest area etc.
  • AI based dispatcher will analyze accurate weather forecast and make changes to the shipments & schedule on the fly.
  • Blockchain will enable the visibility of end-to-end shipments in transit so that Shippers are at ease in case there is any kind of stress in the Supply Chain Transportation Network.

GRENNEX Statistical Analysis to enable AI

Statistical analysis is a subject that concerns the collection, organization, analysis, interpretation and presentation of data. And today’s world Data is the major concern to business, that is how data can be useful to improve performance of a business, identifying opportunities and helps in decision making. Statistical analysis of data is the core function to understand this large structured descriptive data. In an effort to manage their data and predict the outcomes trends based on the information, many businesses rely on statistical analysis.

GRENNEX is here to help you out in analyzing and statistical modelling from large structured descriptive data. It is the science of collecting, exploring and presenting large unstructured data to discover or predict the future outcomes. The various steps of statistical analysis are as follows

  • Nature of the data (Qualitative or Quantitative)
  • Relate the data with the underlying population
  • Create a model (Regression or Classification)
  • Train the model (statistical testing)
  • Validate the model