Anuj Ranjan
Analyst · Desjardins.
Sure. Gary. So yes, we definitely see AI as a great tool. Stepping back, we've always bought leading industrial businesses and improved their margins with operations. And AI is another tool in that toolkit to do it in a much more dramatic way and much faster. In terms of use cases, to be honest, there's probably 700 use cases right now that we're running across the portfolio. So it's pretty vast and pretty large. I can talk about a couple that are more higher impact in a few of our bigger operations. In Clarios, we've been implementing a way to optimize order intake, so have an executable shipment plan to all our servicing plants while optimizing service performance. In this, we automated the analysis of a lot of business processes. And we've had millions of dollars of saved from customer service penalties. We've had a 10% improvement in the quantity that we can fulfill, 14% improvement in overall service performance. So that's been pretty meaningful. We're also working on a larger scale automation in terms of robotics that we could fit into some of our manufacturing facilities as well. In Everise, where we've been quite a leader, we've enabled automated AI-driven agent recruiting, screening, hiring and training for our operations at scale. Just keep a reminder that this business employs over, I think, 14,000 people. So there's quite a bit of HR work that you can automate. We reduced training time there by about 20%. We've reduced about -- we've reduced the cost of hiring an FTE by about 40%, and we've increased the speed to offer or hire across 5 different countries by about 5x. So that's another example. We've done similar things with CDK, where we launched AVA, which is artificial intelligence virtual assistant and our core software offerings, which helps dealers do more quick conversational responses to consumers in real time, answers every call, schedules appointments, uses intuitive conversations, speaks 50 languages and has a GPT-like experience for customers. We've got 4x increase in touch points per lead. We have a 47% increase in sales calls per lead and overall improve the dealer experience. And I think the last one I touch on is Nielsen, where we've been able to reduce the manual effort required in video segmentation of our ad intelligence operations. And we've been able to reduce cost and labor. We've shifted away from manual video coding, which was done by 1,000 people. We've accelerated some market launches, and we've also enhanced the data quality. This is about $10 million in annual run rate cost savings that we're projecting, and it achieves about an 80% accuracy across the segments. It's more faster, it's more scalable client delivery down to days versus 2-plus months to do the same thing before. So these are just a few kind of like, I guess, key case studies. But I'd just say that there's hundreds and hundreds of more of these across the portfolio.