Predictive analytics helps manufacturers forecast machine downtime and scrap rates, turning those predictions into measurable cost savings. With tight supply chains and labor shortages, the technology lets new workers access decades of expertise they'd otherwise lack.
And we ended up on manufacturing, you know, really for 2 reasons. Number one is that the value of prediction in manufacturing is super high. Being able to predict and avoid machine downtime directly traces back to value. You can put a number on that. Being able to predict and reduce scrap, you can put a number on that. And then when you think about what's going on with the supply chain, we've got to make more with what we've got. You can't keep on wasting things. We don't have enough people to deal with the rework. So our people need better tools. People that are getting hired into manufacturing now, these are the kind of people that want that advanced thinking, that advanced analytics, all that stuff that you have to think about, the stuff that 20 years of experience gives you. They want to take all that information and have that automated and presented to them. So we looked at that and we said, all right, there's a lot of opportunity to assign a premium value for prediction in manufacturing.
