Hello, Marina. Welcome. Thank you for spending some time with us. And for those of, listening that don't know who you are and don't know ABB Robotics, why don't you explain briefly, who you serve and why improving search and discovery was so important for ABB Robotics? Hi, Priscilla. It's so nice to be here. Yeah. ABB Robotics, we are a global leader in industrial robotics and automation. And we really serve a broad range of industry from automotive, electronics, logistics, and consumer goods. But it's important that we don't only provide robots, but really a complete robotics ecosystem with software, digital tools, and also life cycle services. And as our portfolio and digital footprint grew, improving search and discovery really became a strategic opportunity. So we have a vast range of products, technical documentation, software, spare parts, service offering, and it's serving very different audience from design engineers to service technicians and procurement teams and general managers. So enhancing search was about simplifying this complexity, and it allowed us to help customer partners finding the right solution faster and access critical technical information really instantaneously and move more efficiently from the exploration to decision. And at an executive level, this wasn't just about better navigation. It was about elevating the digital customer experience. So increasing engagement and unlocking growth by making our knowledge and expertise more accessible at scale. Wow. And tell me then about the impact that you've seen so far. I mean, you touch a lot of things in there and, you know, going from internal, the overall business, but also your customers. So what have you seen in terms of that impact so far? Well, for us, of course, most important is our customers. And for customer, this means really that they have faster access to trusted specification manuals and solution guidance and enabling really great self-service, in a lot of high stake buying scenarios. So for our teams, also very important, it reduces all the manual intervention and allows support and sales to engage at higher value points in the in the journey. And from a business perspective, the analytics provide clear KPIs that help leadership act faster and scale what really works. So ultimately, it's about delivering position across every part of the customer experience and doing so in a way that's supposed both the operational efficiency, but also, of course, growth. Yeah. It's a good thing to always have the customers first. So what's next as you look ahead? You know, how ABB Robotics uses Coveo today, uses AI moving forward to support your customers digitally even more. What's next? There's a lot of things next, and we're really excited about it. But as we look ahead, the next step for for ABB Robotics is scaling the generative and AI driven experience across more of the customer journey. So we've already seen the value of grounded generative answers in helping user access precise information quickly. The opportunity now is to expand that capability. So making generative experience more embedded, more contextual, and available across additional touch points. We're also exploring more guided and magnetic workflows. In industrial automation, customers aren't just asking questions. They are really solving complex problems. So we see AI not only as an answer engine, but as a guide that can support configuration, compatibility, validation, spare parts identification, or solution exploration in a more structured and and reliable way. So a deeper personalization is, of course, another priority. And different personas, our engineers, plant managers, procurement, they have very different intense risk thresholds and the information that they need. So AI allows us to dynamically now tailor that experience based on their role, their behavior, and and context. So more broadly, we think about conversational and agentic experience as a natural evolution of of the digital interaction. So instead of navigating static pages, customer will increasingly interact through intelligent assistant that understand the intent, orchestrate content, and guide them really step by step, but always grounded in our ABB robotics trusted data. So for us, the goal is clear, to use the AI to simplify the complexity and increase the confidence and create more proactive and solution oriented digital experience for our customers. So that's fantastic, Marie. I'm also looking forward to, to be part of that journey with with you. What advice would you give to demand other manufacturers that are starting or are scaling their AI journey in commerce specifically? Well, it's it's a lot of advices you can give. But I would say for manufacturing, just just starting or as you said scaling their journey in commerce, I think I'd like to highlight three things. First, the mindset, the focus, and then also the governance. And first, the mindset shift that is so critical. AI in industrial commerce is not just another technology upgrade. It's really a strategic capability. And you have to move from thinking in terms of digital features to thinking really in terms of decision support, risk reduction, and, of course, customer confidence. In this high stakes environment, trust is really everything. The second thing would be to start with a clear high impact use case. And for do not try to do we're gonna do AI for everything, but really start and focus on the areas when complexity creates friction. So as product discovery or compatibility validation or just technical documentation access or spare part identification. So really focusing on solving real problems that improves both the speed and the accuracy for for your customers. So in the terms of lessons learned, then grounding AI in trusted, well governed content is also essential. And in manufacturing, an impressive answer is that is wrong is actually worse than no answer at all. So data quality, permission, and traceability must be built in from the very start and always looked into. Then maybe also before you ask about pitfalls to avoid underestimating change management as in so many things in life and overestimating over automation. AI should augment your experts. It shouldn't replace them. And the most successful implementations combine, I would say, the AI driven relevance with human oversight and and continuous tuning. So ultimately, treat AI as a long term capability, iterate, measure impact, scale responsibility. And when it's done right, it becomes a powerful enabler of growth and customer trust in industrial commerce. That is fantastic advice, and I couldn't agree more. So, Marina, thank you for sharing. Thank you for spending some time with us and, sharing the story of ABB Robotics. Thank you. Thank you.