Case Study

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case Study

A prominent industry leader in fleet management solutions with highly movable and extremely valuable solutions that cater to multiple industries like construction, commercial vehicles, and waste management. They require an automated process to identify vehicles using their number plates


Challenges:



  • Unable to track and trace the fleet en-route the destination

  • No automated process to keep track of third-party vehicles

  • Delayed refund processing and third party insurance claims

  • Customer refunds were delayed to lack of traceability


The Zerone approach:


We implemented an automatic vehicle identification functionality to recognize the vehicle identity through natural language processing solutions. We integrated OCR solutions with AI capabilities to ensure smart vehicle number plate recognition that showed a drastic reduction in processing times. Submit your details to know more about this approach.

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