Avery Dennison Corporation 실적 발표

… example of that. Another example would be using AI and IoT sensors When we apply them to some of our large, for example, coating assets, we're able to make real-time in-line coat weight adjustments across the web, which allows for less downtime and is able to save us more money in that regard and that we're able to use to seek new customers as well. And then the third one really is we've actually started to use a lot more AI to shorten some of the actual innovation cycles. I'll give you a real example of that. It historically has taken us anywhere from eight to 10 weeks to design a new inlay in Intelligent Labels. We built with a partner a proprietary AI model that takes all of our learnings around the physics of designing inlays and what it takes. And now we're able to reduce that cycle down to roughly two weeks. That allows us to produce new products and new solutions much quicker than our previous capacity had the ability to do. And then finally, I think Greg touched on this as well. We're certainly taking all the learnings we're seeing both on automation and increasing on AI to how do we actually leverage and automate some of the more manual tasks across our SG&A that our business. We've got multiple examples. Now, I will say we're at the start of the journey in that regard, particularly from the AI perspective. But I think we've learned a lot over the last year or so. that I think has really allowed us to see the value that we can create. In addition, we've also recruited and added to our leadership a chief digital officer because I fundamentally believe that capability will also be an accelerant to the way we move forward. And to your second question around apparel and general retail, The way I think about that overall is that we continue to see new apparel customers adopt IL. We went through the late stages of a rollout, so early stages of a rollout in the fourth quarter with a large apparel retailer. We continue to see significant interest in leveraging the technology, not just for inventory accuracy, but also for loss prevention. The work that we did with the proprietary work with, for example, the Inditex Group. And in addition, I continue to see a pipeline where we get new apparel customers continually wanting to use. So overall, those rollouts, as I mentioned earlier, will fall apart as we go through the year and ramp through the year as well.