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Carolina CAT, a leading heavy equipment dealership since 1926, already excels at using digital technologies to drive value from connected machines. However, the company’s digital processes have created an overabundance of machine alerts that make it challenging to scale the value derived from its digitally connected machines.

Finding a way to scale the process of ingesting alerts and filtering those alerts for service sales leads is a key growth opportunity for heavy equipment dealerships. Carolina CAT is exploring how AI can help:

  • Refine the firehose of low-quality raw machine fault code alerts into a pipeline of targeted, high-quality insights, improving the 1% reviewed-in-case rate
  • Automate the creation of repeatable cases
  • Extend monitoring capacity to additional machines, eventually being able to monitor all connected machines in the field, without significantly increasing personnel

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