Hello, and welcome to Relevance 360, our commerce edition. I am Laurent Simoneau, CEO and founder of Coveo. We're pleased to present a one hour session that is dedicated to you, heads of commerce, digital merchandisers, and technical teams who work every day to optimize your digital marketplace experiences. The theme of today's event is focused on how you can turn intent into profit with AI built for commerce. We want you to leave today's session with actionable insights to help you meet the expectations of a modern marketplace, improve customer experience, and drive sustainable revenue growth and profitability. For those of you who are just getting to know us, we bring AI relevance to every point of experience, helping businesses surface the right content, the right product, and the right offer at the right time to maximize profitability. The Coveo AI Relevance platform transforms how enterprise connect with their customers and employees at every touch point, from commerce, where AI powered search and product discovery drive conversions and margins, to customer service, agent tech, website and workplace, all connected together with consistent relevance that drives both engagement and revenue growth. Coveo Power is seven of the top world's top ten tech company, including Salesforce, SAP, and Dell, alongside leading brands such as Espresso, Bass Pro Shop, Famous Footwear, Nestle, United Airlines, and hundred more. Coveo helps these company gain the AI experience advantage they need to win their highly competitive markets. Over the next hour, we'll be joined by Susie Kronberger, AI revenue growth leader, formerly Google, LinkedIn and Visa. Susie will focus on next frontier of AI enabled tools to drive profitability, and Peter will deliver in return a session on optimizing these tools for relevance and profitability. You don't wanna miss it. We also want you to ask questions, so please use the chat. Coveo experts are standing by to get your answers in real time. With that, let's get started. I'd love to give you a quick overview of what we have been working on since our last Relevance three sixty. Coveo is the leader in AI powered product discovery for both B2C and B2B experiences. Our customers select us because of these three core pillars. The first one is relevance, which is the ability to align with user intent. Next one is generative answering, which provides contextual advices and assistance to users during the shopping experience. The third one is advanced merchandising capabilities that allow merchandisers to configure and align with business outcomes. All of this with scale and reliability to support the largest and most complex commerce sites. So relevance is a complex equation that requires to include these important variables. First, merchandisers must be able to configure boost and bury rules to address specific conditions on their campaigns. But then search must be precise and eliminate noise. That's why we've gotta support lexical matching. Then natural language processing and similarity is done using semantic understanding, so balancing precision and similarity is critically important. Popularity is another very important component of the relevance equation where based on behavioral data, specific results and specific products will be surfaced for given queries in given context. And finally, using advanced product vectors created using deep learning, we can derive user intent using a few clicks on their website session. All of this has been in production for years now with remarkable results for customers. Now we have also rolled out to select customers this new product called business aware product ranking that optimizes all of these ranking factors plus additional variables to find and select the optimal balance in order to achieve a specific outcome, such as lift in conversion, lift in revenues, or lift in profits. We're currently seeing great success with these select customers and we expect to accelerate the rollout of this new model. We think it's quite of a quite impactful for customers. All of this will be configurable with a few clicks in our merchandising hub, so merchandisers can optimize by campaign and by context, while keeping track of the overall results across all of their different properties and different campaigns. Finally, I'd like to share how we're rolling out a unified experience for commerce customers integrating generative answering, product discovery, and merchandising altogether. In this example, a shopper can navigate and browse products through listing pages ranked by relevance. So using the relevance formula, the relevance equation, the most, the order of the products and the results will, will change depending on the context, depending on all of those variables. But then if the shopper seeks advice or guidance, for instance, how to start surfing, Covia will generate a response grounded in the actual content available on the store. So you see a response here that has been generated contextually for that end user. And based on that content, Coveo also suggests the most relevant product categories to match the shopper's interests. Finally, additional relevance content is also available in the same experience. We're excited to begin rolling out this new capability to customers this quarter and look forward to its impact. So in the context of b two b experiences, we're also providing components where commerce and customer engagement are unified. Natural language queries can trigger support information in addition to commerce content. So this is an example where a long and complex query in the context of b to b experiences, will get a generated answer based on the content that has been indexed, but also commerce opportunities about related products, upsell opportunities, and additional information on other products, that may be good, upsell or cross sell opportunities for the end user. The same platform can also enrich chat and agent experiences, ensuring consistency of relevance between search and and chat channels. So in this example here, the same query will trigger similar results or similar response, but in a different context. In a more conversational approach here, it makes sense to reduce a little bit the information, so it can be managed by, it can be managed by a user in a chat conversation. What you have to remind here is that there's a unified relevance across all of these touch points powered by the CoYo platform. So we're excited about the potential of this unified relevance platform, and we expect to report on remarkable customer stories in the coming future. Now I get to welcome Susie Kronberger. Susie is a commercial strategy and operations executive who specializes in scaling growth for AI retail and consumer goods companies. For the last twenty years, she has managed p and l's for household brands at Kraft Foods and Down and Yogurts. She led go to market LinkedIn and ad tech startups And she also advised technology partners on customer data platform and AI solutions go to market for Google Cloud. I'm excited to see what Susie will share. Susie, take it away.