Hello, Franco. I am so glad that you're able to join us here today. For those of you who don't know ABB Robotics and don't know you, why don't you explain who you are, your team, and what does ABB Robotics do? Super. So first of all, thank you for for having me. I'm Franco. I'm the global e commerce manager for ABB Robotics. For those that don't know ABB Robotics, we're a global leader in robotics and automation. And basically, what that means is we serve customers all over the world from industries such as electronics, automotive, consumer goods, and and more other niche areas. And we support them not only with robotic actual products, but also full fledged solutions, including software, accessories, peripheral equipment, and spare parts, of course. And, yeah, I'm super excited to be here and to be discussing with you our journey with Coveo. Excellent. So you're here because you've embarked a journey with Coveo. Search Discovery became very important for ABB Robotics. Why? So as you may know, we're in the B2B industrial manufacturing space. And, of course, like, what this industry entails, there's an inherent complexity around the products that we that we sell. And there are customers once they acquire it, there's a whole area regarding compatibility, product information, CAD files that they have to, of course, know. And and within our sector, precision reliability is key in order for them to really do whatever they need to do. Right? And what I'm meaning that is because there are different personas that are in the organization. Right? We don't we don't serve to just one person within the company, but there are different roles that each person within the company does. So there's, you know, the buyer, the maintenance person, the plant manager, and each ones, they have different responsibilities. And, of course, you know, everything that they have to do, they have to do it on time and in the best way possible. And that's why for us, we were really looking at how to improve the experience for every single of these users in the in the best digital way possible. And that's why we we decided to leverage Coveo as that go to solution for us. Very interesting. And before Coveo, what were the biggest challenges that you were dealing with and had to had to improve? Yeah. So as you can imagine, we work with a whole array of of different systems, right, for document management, for products. And we also work as well with partners, right? We not only sell directly to end customers, we and that's what we're very proud of. We work with wide array of channel partners, with integrators that that support us. And the whole reason why, you know, customers choose ABB Robotics is because we we we really help them solve specific automation needs, and efficiency here is is key. Right? They they they they need to do their job as quick as possible, acting as accurately as possible. And that's why, you know, Coveo is a huge part in this for the search, the discovery, and the efficiency of finding the things at the right time and in the best way possible. And tell us maybe as well a bit about your Generative Answering journey and use case. You know, how how are you using Coveo today to support your customers across that discovery and self-service with a with a generative experience? Yeah. So we as as you mentioned, we we're currently we have two main sources where Coveo is supporting us, right, in the products on the content and specifically in the content, the documents. We have approximately thirty five thousand products, not only, of course, individual robots, software, spare parts, but there are different options and configurations that each robot has. And here, that's that's what what you know, as as I mentioned, this inherent complexity of a customer needing for their certain application and job to be done. They need to select the exact right project solution for for whatever they're trying to do. Right? So how do we surface this information and make sure that the decision making is as accurately made as possible? And also the content. Right? Because we we for the whole after sales and service use cases where there's a maintenance job to be done or there's an upgrade to be done, these or service personas, right, they need they need to go and find specific information in product specifications, circuit diagrams, and even use simulation tools for CAD files. So Generative Answer here, the real value maker is being able to get the exact answer to whatever they're asking and and and in a grounded way because Coveo has we're it's taking our our data from a logged in, of course, experience, so which assets the customer has with this, you know, the bill of materials that's in there as we go transactional because that's actually our next step, being able to actually have those checkout use cases directly from one single platform, right, without having to jump from different different front ends or or platforms. Right? So it's it's about that accuracy, that that relevancy, making sure that, hey. Of course, we're trying to make sure that every question has an answer, but if it does not, you know, we understand that that's the right thing because in our industry, precision is everything. And we wanna make sure that our customers, of course, are are are having the right answer. Yeah. And when you think about the robots and the systems that you have in an automated plant, example, then, you know, the impact of not getting the right information can be quite big. But what impact have you seen, you know, at the back of using Coveo for your customers and your teams and the business in general? Yeah, so the first one is it's really been about the customer experience and both, you know, the customer satisfaction but also the employee satisfaction and having one single search engine that is consuming information that's acting as a source of truth from these multiple sources, right, that we're feeding to it. And it's also about making the job of both our users and our internal people more efficient. Right? So being able to find information quicker, not have to jump around, you know, in multiple applications, go open different documents. Right? So having when whenever there's one job to be done that they can get to it as quick as possible. And, of course, what we're seeing, which obviously is an added added benefit for us is, you know, that that that revenue uplift from being able to surface the right products, the right compatibilities, the right recommendations, you know, given that we not only work with that static robot, but, you know, spare parts, services, right, throughout the whole life cycle. So maybe just to quantify, right, in in in some numbers so far because we we're we're still young in our in our in our Coveo journey, but we're we're proud that so far our our our the average average click rank has been less than two, meaning that customers, when they're searching for things, they're clicking or they're finding information either in the first or second position, meaning that Coveo is really surfacing very relevant information. And, of course, that's also part of the the fine tuning that happens as we start. And then also, we're seeing that customers are using Generative Answering. They see they they have twenty six percent more engagement in our with our platform, meaning that, you know, they they're they're really finding value on on both the answers, but also the the the quality of the experience that having a really powerful search AI is having. Very good. So Franco, as you look ahead in that digital customer journey that you're trying to continuously improve, what's the next step for ABB Robotics? Yeah. So as I mentioned, we are in the process of going transactional for spare parts, so really supporting our our our customers whenever they have a spare part needed. They can not only find it and request a quote, but actually check out directly, right, with the right right stock and and price. So be being able, yeah, to to see that uplift, that will be the the the first step. And then, of course, how we we we use that Coveo index, right, to feed more contextual information to to to our customers and our users. And here is where, you know, we we currently have two experiences, a guest and an authenticated experience. And within the authenticated experience, it's all about that that contextual asset centric, persona centric experience that they have. Right? Depending on whether they're they're a buyer and they actually just want to either request a quote or check out directly or their maintenance, so they have to see their whole install base, look at the bill of materials, and then see, you know, the compatibility. So all all these use cases that are gonna be driving the more niche concrete applications for every single person, I think that's that's where our vision is and giving to the index more and more data, right, in order for the AI to do its magic and make sure that over time it's it's providing better and more direct recommendations. So, Franco, what advice would you give other manufacturers that are listening in to when they are either starting or actually scaling their AI journey in commerce? So the first thing, I guess, maybe not as a recommendation, but something that that we've done at least is take the whole concept of how to leverage AI as not as a as a stand alone technology, but really to look at it as a, I would say, as a mindset and and to see which use cases we can use AI to really supercharge and and and be more productive both internally and and and for our customers. Right? So really taking and doing like, trying to go use case by use cases and seeing how AI can can can be that differentiating factor. And then tied to that, it's it's it's also the focus. Right? Because, yes, you can, you know, AI everything, and and I think that's something that we're all it's in everyone's minds right at the moment how how how we can be more productive with AI and and just plug in it everywhere. But that also requires, you know, attention to to prioritize and and and and really make sure that you're working on those those high impact, high priority use cases. Right? So I would say, yeah, making sure that you work with both you know, I'm sitting in the business team, but, of course, this is a transformation that that that, you know, everyone needs to be on board in the organization, you know, IT, product management. It's working hand in hand between all teams, especially given, for example, our project, we are driving it globally, but we're present ABB in a hundred markets, ABB robotics in fifty or so. So, you know, how do we also work centrally but with the local markets in order to ensure that the adoption gets you know, that they actually gets used and and that customers in the end advocate for it. Right? So it's it's a transformation. It's a journey, and we have to be prepared, let's say, to to work both with with our customers and our our sales reps on it. Well, thank you so much, Franco. It's fascinating listening to you and to what ABB Robotics can can do and and your digital AI experience as well and journey with with Coveo. So thank you for sharing it with all of us. Thank you very much for having me. It's a pleasure.