Thank you, Niraj, and good morning, everyone. I'm thrilled to join you today to share how our technology teams are shaping the next chapter of Wayfair's growth, powered by a long leadership in AI and machine learning and now by pragmatic advances in generative and agentic AI. Wayfair has always been a technology-focused, customer-obsessed company. Our promise to customers is to make it easy for them to create a home that's just right for them, and the rapid evolution of AI represents a considerable opportunity to deliver on that promise in new ways. Our long history of applying machine learning from the predictive models that power our core pricing and marketing engines to the algorithms that help us classify and organize our vast complex product catalog, means we're not starting from zero, but instead scaling from a position of strength, backed by operational discipline to measure impact rigorously. Our investments in AI are pragmatic and results-oriented centered on three key strategic outcomes. First and most importantly, we are reinventing the customer journey. We are moving beyond simple personalization to create truly intuitive and inspiring shopping experiences that guide customers from their initial idea to the perfect product for their home. Second, we power this best-in-class experience by supercharging our operations and our teams. We are embedding AI into our core processes to make them faster and more efficient and have provided generative AI tools to every employee. This allows us to deliver our customers with a level of excellence that is difficult to replicate. And third, we are powering our platform and ecosystem. We are building tools that make Wayfair the best possible partner for our suppliers and are ensuring our catalog is seamlessly integrated into the next generation of AI-driven commerce. Let me walk you through each of these. Starting with the customer, we are using generative AI to make the shopping journey more intuitive and personal than ever before. We think about this as an AI-powered growth flywheel to inspire, engage, learn and personalize. It all starts with inspiration. And we're using generative AI in multiple ways to help customers discover products they love. We developed Muse, our proprietary AI-powered inspiration and discovery engine, to create shoppable photorealistic room scenes to capture the attention of low intent customers and Spark discovery. Muse offers a visual browsing experience, entirely powered by generative AI. We then incorporate learnings from Muse into our new Discover tab in our app, offering an endless loop-based shopping experience that turns inspiration directly into action, delivering a measurable lift in conversion as well as visit duration for customers that engage with the tab. In parallel, we're using generative AI to understand what inspires our customers beyond just their searches and clicks. Our new interest-based carousels are driving incremental revenue uplift by matching product to every customer's lifestyle and aesthetic, with contextual signals like location and weather coming soon to enhance personalization. Once a customer is inspired, we engage them with a suite of AI-powered tools that builds confidence and removes friction from their journey. We've evolved our on-site search to be more intuitive using a sophisticated LLM to move beyond traditional keyword matching. This allows us to interpret what a customer is looking for with far greater nuance, connecting to the right products with greater precision. For shoppers who have picture, but not the words, our visual search allows them to simply upload or snap a photo and instantly find similar products from our catalog, turning real-world inspiration into a shoppable reality. When customers have specific questions, our AI-powered assistant provides instant reliable answers by drawing directly from product specifications and reviews. These interactions feed our ability to learn, and ultimately to personalize. This is where we combine AI scale with our unique home expertise. We had our own interior designers, annotate nuanced style pairings then used LLM to scale this understanding across our entire catalog. The results are compelling. Customers who see these designer quality personalized recommendations are 1/3 more likely to save, add to cart or order products, reflecting a much higher confidence in our selections. And we are just getting started. We are now preparing to test a new generative AI feature called, Complete the Look. What's unique here is our proprietary ability to generate a complete styled room scene where the products visualized are directly inspired by real shoppable items in our catalog. This allows customers to move from individual product ideas to a complete shoppable design plan more intuitively than ever before. None of this is possible without world-class execution. This brings me to our second pillar, supercharging our operations and our teams. A core part of our operational excellence is the quality of our product catalog itself. We are using generative AI at scale to improve the accuracy, consistency and completeness of our product information. This makes our catalog more reliable for customers and simplifies the management process for our suppliers. This catalog enrichment is already delivering an impactful lift in add to cart rates. At the same time, we are using AI to automatically detect and process duplicate items, which keeps the customer experience clean, and is projected to reduce the cost of this review process by 3 quarters. With a more reliable catalog as our foundation, we deliver superior customer service. We recognize that the unique nature of our category, which involves high consideration and complex orders, requires a sophisticated approach to service. For immediate 24/7 resolutions on common inquiries, we use fully autonomous conversational AI agents. For the more nuanced situations that benefit from human expertise, we've equipped our associates with a powerful real-time AI copilot, which combines several advanced capabilities. It uses our patent-pending intent-based routing to connect customers to the right expert on the first try, and it uses advanced reasoning models to recommend better, more proactive solutions when a standard replacement won't be enough. This holistic system is designed to live first contact resolution and post contact satisfaction, all while reducing our cost to serve and driving down waste. This focus on a reliable experience also extends to trust and safety. Our multimodal AI now uses computer vision to detect fraudulent imagery in real time, better protecting both our customers and our suppliers. Just as AI is evolving our operations, it's also up-leveling how we work. We are committed to ensuring that every Wayfarian can benefit from this AI transformation. Our engineers are integrating leading coding assistants to accelerate development cycles, while business teams, in marketing and merchandising use generative tools to automate repetitive tasks and focus on more strategic work. We have provided a generative AI license to every single employee, and we are fostering a culture of hands-on innovation that goes beyond just structured training. We're encouraging our entire team to find new ways to create value with these tools through programs like our Gen AI Innovation Challenge, where any employee, not just technical ones, can submit ideas that solve real business problems. In fact, many of these have already been implemented across the organization today. By using leader boards and other engagement models, we are making AI experimentation part of our everyday culture. This mindset where our teams are learning with the same urgency and curiosity we expect of the technology itself is fueling innovation that translates directly into better supplier tools and richer customer experiences. Finally, our third pillar is about powering our platform and ecosystem. We win when our partners win, and that means using AI to both improve their operations and to drive more qualified customers to their products. For our suppliers, we've developed an AI agent that automates service ticket classification and resolves a portion of inquiries without manual intervention, a truly agentic implementation that we expect to drive measurable savings over time. Simultaneously, we are using generative AI to put those suppliers' products in front of more customers. We've utilized LLMs to rapidly scale and optimize our SEO titles, leading to greater Wayfair presence in Google Search and a higher volume of free traffic. We've also used gen AI to create superior titles and ad copy for our Google Product Listing Ads, driving strong, consistent results and a powerful synergy between our organic and paid marketing performance. This leadership in search is now the foundation for our work in generative engine optimization to ensure our products are not just discoverable, but are selected and recommended by these new AI platforms. Looking ahead, we are actively shaping the future of agentic commerce with a clear dual-pronged strategy. First, we view this as a new additive channel for growth, so we will be where our customers are. This begins with ensuring a vast and specialized catalog is deeply integrated and accurately represented on leading AI and search platforms including Google, OpenAI and Perplexity. This provides the foundational third-party truth on our selection, pricing and delivery promises, but we are moving beyond just discovery to enable seamless transactions. Our plan is to make our catalog fully transactable on leading AI platforms, allowing customers to shop with confidence and ease wherever their journey begins. Simultaneously, we are building deep competitive moats to ensure our own site and apps remain a premier shopping destination. These moats are built on our unique advantages, a powerful inspiration and personalization road map, fueled by our proprietary data, our foundational strength in selection and fast delivery and unique programs like Wayfair Verified that build customer trust and confidence. That belief in our unique advantages underscores how we're thinking about differentiation in the AI era. In a world of AI-driven commerce, retailers with a large, well-detailed catalog of products, verified supply chains, transparent fulfillment and deep technology capabilities are advantaged. We believe that customer attention will flow to the most trustworthy API, not the loudest ad. The disciplined investments we've made in our core data and technology architecture position us to deploy these technologies safely and at scale. This turns our deep technical heritage into a sustained competitive advantage, and it gives us confidence that we're not only keeping pace with the AI revolution, we're helping lead it. Thank you. And now I'll hand it over to Kate to review our financials.