Coveo AI powered search, navigation, and recommendations optimize product discovery for your shoppers, which translates into higher conversions and average order value for your site. You want your ecommerce search experience to be as easy and intuitive as a search engine that brought them there. Even with the most extensive product catalogs, Coveo allows shoppers to quickly find the products they need. As shoppers type in a product name, brand, or an actual language search query, they are prompted with intelligent suggestions powered by machine learning. This provides immediate feedback to the shopper, corrects potential typos, and removes frustration by easing the product discovery process. Shoppers can then easily narrow down the result list thanks to the preselected categories and intelligent filters that dynamically change based on the category. Here, for example, the sport basketball category automatically selected based on the search for basketball shoes. Coveo also uses machine learning to automatically order the filters on the screen. For example, if brand is the filter most used by your shoppers rather than price, then the brand filter will naturally find its way to the top of the list. Delivering a personalized experience for your e commerce site is hard as most shoppers do not create an account or sign in while they browse. However, with Coveo AI and product embeddings, offering a more tailored experience is possible with a few clicks, even for your anonymous shoppers. In this example, when a shopper searches for gloves after adding a men's golf shirt to the cart, the results are tuned to prioritize golf gloves over snowboard gloves, which may actually have a higher overall popularity, but in this case are less relevant for the current shopper in the current session. Subsequent query suggestion and categorization will also be influenced by the shopper's behavior on the site. Product recommendations is a clear way to increase average order value for your e commerce site. However, managing them manually can be difficult and time consuming for your merchandisers. Covero's AI powered recommendation models can be used to automatically recommend the most relevant products based on a shopper's browsing and buying behavior. What's already in their cart or what's often viewed and bought together. For example, you can recommend accessories that are frequently bought together or suggest complimentary products that they haven't seen before. Finally, collecting the right data about how shoppers discover and buy is crucial to optimizing your ecommerce experience. Cover offers a powerful set of analytics and dashboards to understand trends and directly measure our search impacts or conversions, average order value, and revenues. Turn your online shopping experience into a competitive advantage with Coveo.