Coveo Relevance Cloud

The Coveo Relevance Cloud is the single platform that makes AI-powered relevance at scale effortless, with results from Day
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The Coveo Relevance Cloud is the single platform that makes AI-powered relevance at scale effortless, with results from Day 1.
Coveo is a cloud native platform that delivers intelligent digital experiences through AI-powered search, navigation and recommendations.
Coveo unifies data from any source and learns from every interaction across channels to tailor experiences that increase conversion & average order value, lower costs to serve, and drive customer satisfaction.
Coveo also arms merchandisers with insights and automation capabilities needed to reduce manual effort and create shopping experiences that bring more value to both the business and customer.
Coveo is AI on-tap for every part of the shopper journey.
More relevance, more buying. It’s that simple.

Main Features

Capabilities Highlight

  • AI-Powered Search
    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.

  • Dynamic Navigation
    Optimize the browsing experience by automatically reorganizing the filters for a given search term and boosting relevant categories.

  • Product Recommendations
    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.

  • Searchandising
    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.

  • Unified Index
    With a single search, surface the most relevant results from your product catalogs, buying guides, expert advice blog, video tutorials, or support content.

  • Entitlement
    Manage complex pricing and product restrictions for each customer. Automatically ensure that search results reflect the right CRM or ERP entitlements.

Description of the Integration

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 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.

It is possible to surface content either using the Coveo™ JavaScript Search Framework or the Coveo Search API.

The former option provides a simple way to implement our full-featured search interface that includes machine-learning-ready usage analytics. This article serves as an introduction to creating a search interface with the Javascript Search Framework. The Coveo JavaScript Search Framework offers a large collection of components (e.g., Searchbox, ResultList, Facet, etc.) and utilities to help you create, customize, and maintain end-user interfaces relying on the Coveo Cloud Platform. Among other things, JavaScript Search Framework end-user interfaces can automatically handle building and sending queries, displaying query results, and logging appropriate usage analytics events. For more in-depth implementation guidelines, see Leveraging the Coveo JavaScript Search Framework.

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

Coveo also leverages the same content and data to create recommendation models designed to support multiple use cases (e.g. cart recommendations, homepage recommendations). More information on the different use cases can be found in this article. Coveo’s Machine Learning takes advantage of usage analytics to suggest relevant products to end users based on their past and present interactions with a Coveo-powered commerce implementation. Relevant content will be surfaced with our Search API or our JavaScript framework.