Help shoppers and buyers find what they need faster with machine learning and an optimized search index. Seamlessly handle attributes, variants, and availability of your products at query time.
Intelligent Query Suggestions
Make the right products easier to discover with predictive and typo-tolerant as-you-type suggestions and result previews for better accuracy.
Optimize the browsing experience by automatically reorganizing the filters for a given search term and boosting relevant categories.
Maximize average order value by suggesting relevant add-ons. Recommend products based on previous browsing history and buying behavior, items often purchased together, or complementary to each cart.
Search & Journey Analytics
Get insight into your buyer journeys by automatically tracking each interaction – including filter selection and page views. Identify trends, measure the impact of search on AOV and conversion, and use that data to optimize the experience.
Tailor the experience according to your business needs. Add boost and bury rules, feature products or brands, and showcase campaign-related items. You can even A/B test to see which configuration provides the best results.
Personalisation As You Go
Personalize interactions even for first-time shoppers or customers who haven’t yet logged in. Let user behavior, product mappings, and machine learning tailor both navigation and results.
With a single search, surface the most relevant results from your product catalogs, buying guides, expert advice blog, video tutorials, or support content.
Manage complex pricing and product restrictions for each customer. Automatically ensure that search results reflect the right CRM or ERP entitlements.
Tech-first companies have taught customers to demand best-in-class search experiences. Coveo empowers enterprises to thrive in the experience age through delivering unique experiences that are unified, relevant and valuable. This is done by leveraging Coveo’s proprietary Machine Learning and unlocking the value of products’ and customers’ data.
Coveo leverages different types of information from a catalog (i.e. products, variants and availability) to make products discoverable. This article serves as an introduction and high-level guide to indexing products from a catalog. Yet, Coveo can also index more than product data: structured product catalog data can blend with unstructured content (e.g. community reviews and YouTube videos).
Coveo also tracks different types of commerce events (e.g. page views, products clicked, products added to cart, purchases) to provide machine learning with inputs to learn from and to help predict user behavior. This article explains in detail how the coveo.analytics.js script leveraging the syntax of the Google analytics.js script is being used.
Coveo maps product data with user behavior and leverages it in its out-of-the-box Machine Learning models. More precisely, Coveo uses AI to tailor every aspect of the customer experience across different touchpoints, from typo tolerant and predictive query suggestions to dynamic and intelligent facets, and from an optimized ranking of search results to tailored and individualized product recommendations. This short guide reviews the default setup of Coveo Machine Learning models.
Alternatively, it is possible to use Coveo’s API-first approach to building search interfaces, thus decoupling the presentation layer from the component. This option offers more flexibility in design and enables developers to easily integrate and develop on the Coveo platform. More information can be found by consulting the documentation on Building a Search Interface Using the Coveo Search API.