Commerce product discovery solutions

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System Administrator Developer Merchandiser

Coveo for Commerce enhances marketplace performance by using artificial intelligence (AI) to personalize shopping experiences, increasing product relevance and conversions.

On an ecommerce website or application, Coveo for Commerce offers tools for personalized product discovery, enhancing the browsing experience through tailored Search, Product listings, and Recommendations.

The Search product discovery solution allows visitors to find products by entering keywords in a search box.

The typical visitor journey starts with a search query, which is then matched against the searchable product inventory. Returned products are shown on a search results page, where visitors can further refine their search by applying filters or other sorting options, which are powered by the Facet Generator feature.

The search experience is powered by Coveo Machine Learning (Coveo ML) models that leverage visitor interactions to provide the most relevant results to each unique individual.

More specifically, the Search product discovery solution provides the following Coveo ML capabilities:

  • Relevant query suggestions: The Coveo Platform suggests personalized queries as visitors type in the search box. These suggestions can be powered by either a Predictive Query Suggestion (PQS) or Query Suggestion (QS) model.

  • Intent-aware search results: The Coveo platform intelligently ranks search results based on the visitor’s intent. To achieve this, the Coveo platform provides an Intent-Aware Product Ranking (IAPR) model that understands the visitor’s intent in real time and can quickly adapt to changes in behavior. Therefore, the most relevant products for the current visitor are always displayed at the top of the search results.

  • Optimized ranking: The Coveo platform automatically adjusts the ranking of search results based on recorded visitor interactions. This means that products are being re-ranked to display products that have been successful in the past for similar visitors. To leverage this capability, the Coveo platform provides an Automatic Relevance Tuning (ART) model.

The Search product discovery solution can be implemented on your digital storefront by configuring your search page.

Search discovery experience | Coveo

Product listings

The Product listings product discovery solution allows visitors to browse products by navigating through categories and facets.

In digital commerce, visitors often navigate your product inventory by browsing through categories and applying filters to refine the product list. The Product listings product discovery solution provides Coveo ML capabilities to enhance the ranking of products on listing pages.

More specifically, listing pages powered by the Coveo platform can leverage Automatic Relevance Tuning (ART) models to automatically adjust the ranking of products based on previous visitor interactions. This means that the products displayed at the top of the list are those that were the most successful in the past for similar visitors.

The Product listings product discovery solution can be implemented on your digital storefront by configuring listing pages. Once this product discovery solution is implemented, merchandisers can manually tune the ranking of products on listing pages by using the CMH. Using the CMH, merchandisers can also assess the performance of their listing pages and make data-driven decisions to improve the product discovery experience. See CMH Product listings manager for details and instructions.

Listing discovery experience | Coveo

Recommendations

The Recommendations product discovery solution allows visitors to discover products by showing personalized recommendations throughout their browsing journey. Recommendations are displayed in slots that can be integrated in various locations on your digital storefront, such as the home page, product detail pages (PDP), or cart page.

This product discovery solution provides Coveo ML capabilities to power products displayed in recommendation slots. More specifically, recommendation slots leverage Coveo Product Recommendation (PR) models to display the most relevant products to each individual, based on their location in the buying journey. To achieve this, PR models can leverage multiple strategies that are suitable for various recommendation scenarios.

The Recommendations product discovery solution can be implemented on your digital storefront by configuring recommendation slots. Once this product discovery solution is implemented, merchandisers can manually tune the products displayed in recommendation slots by using the CMH. Merchandisers can also assess the performance of their recommendation slots and make data-driven decisions to improve the product discovery experience.

Recommendation discovery experience | Coveo