TECHNOLOGY
right-hand side is what it knows is going to be happening and it just starts automatically matching everything and saying, you’ re good.
OPE +: Does the PDF need to be formatted in a very specific way or it can read a PDF from Deere or a PDF from Bobcat? McLaughlin: It’ s even better because as you learn, it’ s learning your session too. So it’ s learning different dealers. It’ s learning every time it makes a mistake. It will also look for fraud. If you put in an invoice that doesn’ t make any sense, we’ re looking for fraud. Fraud’ s a big thing in dealers, people trying to get paid for parts they didn’ t ever send. We’ ll do a fraud scoring on the PDF. This one is a pure time saver. It doesn’ t create more revenue.
OPE +: Okay, talk more about the second one, for service, right? McLaughlin: Yes. Everything in the dealership on the service side is“ complaint-cause-correction.” That’ s the basic math of a service ticket or a repair order. As soon as you put in a complaint, we’ re going to recommend to you what we think the cause and corrections are and the parts you need. And you’ re going to say we did a‘ thumbs up’ job. Or you’ ll say we to start just giving you the cause and corrections and parts you need like right off the bat. And we’ ll write them all for you.
The only reason we know what to recommend on a complaintcause-correction is that the data from our vendors is being fed into an AI engine of complaint-cause-corrections that are complete. So we feed it all in, and kind of turn into an English sentence basically. Then the next complaint comes in and we go,‘ Does this look like anything that any of our 200-plus customers have done? Is it the same machine model make?’
Then it’ s pulling back and saying,‘ All right, this would be my recommended cause-correction. And these would be the parts to fix it. Before the only way to do that was you had to build that manually. Then the tech would pick it. And then you could have it all predefined. The thing is, everything has to be tested.( McLaughlin entered prompts into an AI agent as we talked) I just wrote,“ My lawnmower is running rough. What should I do?” So the generic Gemini is giving me a generic Gemini answer. It’ s talking about fuel, air filter, spark plug. Those are the three things you get taught, like in second grade.
Well, if it actually knew complaint-cause-correction and it knew the type of mower, what could it do? Again, if I just do this and say a
did a‘ shit job’ and that’ s going to retrain the model. It’ s going AI is Everything, continued on page 9
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