Coveo is an AI platform for search, recommendations, and generative answering. Coveo is a proud SAP endorsed partner, unlocking these powerful capabilities to both SAP commerce and service cloud customers. Starting with a purchase journey, when shoppers type in the search box, Coveo automatically suggests queries and displays product previews. This is expected behavior for today's websites. However, Coveo suggestions are not just basic keyword matches. If we take the term surf wax as an example, Coveo reporting shows us that this term has been performing well over time, showing the impact of machine learning boosting successful terms. This means that suggestions are intelligent and tailored for conversions. Each Coveo search results page is optimized for conversion by retrieving and ranking products. A combination of factors are balanced from let's call keyword matching to merchandising rules and various machine learning models, which are layered and orchestrated together. These include semantic encoding, which goes beyond mere keyword matching by understanding the customer's intended linguistic meaning, plus a set of models that learn from shopper behavior, such as clicks, purchases, and add to carts. For example, automatic relevance tuning picks up trending products from this data and a unique personalization model which leverages deep learning to be able to rank products based on a visitor's in session behavior and relationship between products. When product availability varies by location and attributes, search can get complicated. And for B2B sites, when prices and and entitlements vary among customers, an additional level of complexity is added. However, Coveo is able to seamlessly handle this with our multidimensional indexing capability. We index availability, pricing, and entitlement separately and combine it seamlessly at query time. The result is the customer finds the product they want in the size they want available at their preferred store without ever leaving the search results page. This avoids the frustration of back and forth navigation with product details pages. And when a B2B buyer logs in, they see their own contract pricing right on the search results page. Much of your site traffic may result from shoppers landing directly on a listings page versus your home page. Therefore, it's equally important to keep this experience engaging. Coveo optimizes these pages automatically with layered machine learning models that include revenue optimizations. The merchandisers can easily apply business rules through Coveo Merchandising Hub, such as boosting products based on an attribute like so. Or merchandisers can also come in and create new listings pages for special promotions in just a few clicks. When it comes to true one to one personalization, Coveo has very unique functionality that uses deep learning to both map product affinities in your catalog and track each in session event. Coveo can then adjust the number of product discovery elements in real time for each visitor. This applies to query suggestions as well as product results rankings and even recommendations. For example, we have a session here where we have a portable GPS device in my cart. And when I start typing radio, I can see similar handheld devices are being suggested, which is different from someone who has just landed on the site and performs the same search. Some product catalogs are broad and diverse, and product attributes vary significantly. Most sites simply result in displaying generic filters, such as brand, price, or ratings. So it can be a challenge for shoppers to find the exact item they need fast and efficiently, especially when on a mobile device. Coveo's dynamic navigation functionality helps solve for this problem by generating the most relevant attribute filters automatically based on the products in the search results. So a customer looking for a computer will see filters such as memory and processor as opposed to a buyer looking for a GPS handheld device will see coverage interface and battery type. Coveo also supports many different types of recommendation strategies all based on machine learning. As Coveo captures more information on your customers behaviors and purchases, the machine learning models will automatically tune. Here we can see Recs based on what other people also viewed within the same category, which is helpful when looking to compare products. All customers also bought Recs help shoppers quickly complete their purchase, boosting average order value. Or if I already own the product, useful information through recommending relevant blogs. Customers early in the buying journey will research online before knowing what to buy on your site or even be directed to competitors. They can help drive customers to your site by generating answers grounded on your relevant expert content And follow this up with relevant product suggestions, making your brand more than just a point of sale, but a trusted adviser. After a purchase, Coveo can also provide a seamless support experience. When customers search for help, Coveo AI instantly offers relevant query suggestions, which understands intent and services the most relevant search results from different sources. Coveo's generative AI transforms self-service with accurate answers that's grounded by your content, making it easy for the customer to get the answer they want quickly, resulting in higher customer satisfaction. In an event a customer submits a case, Coveo's native integration with SAP Service Cloud unifies content from across the enterprise knowledge base into one view. As soon as the agent opens the case, Coveo AI returns relevant results contextualized to the case content, helping reduce handle time and increase first contact resolution, making agents more efficient and increasing customer satisfaction. This has been a quick overview of how Coveo can power more intelligent experiences for the entire customer journey from purchase to support. Get in touch to learn more on what Coveo can do for your business.