Commerce product discovery solutions

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

Visitors enter a search query, which is 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.

The Search solution provides these Coveo ML capabilities:

Therefore, the most relevant products for the current visitor are always displayed at the top of the search results.

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

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 solution uses Coveo ML to enhance product ranking on listing pages.

Listing pages use Automatic Relevance Tuning (ART) models to rank products based on previous visitor interactions, displaying the most successful products for similar visitors at the top.

The Product listings product discovery solution can be implemented on your digital storefront by configuring listing pages. Once implemented, merchandisers can manually tune the ranking of products on listing pages by using the Coveo Merchandising Hub (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.

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.

Recommendations display the most relevant products to each visitor using Coveo Product Recommendation (PR) models. These models leverage multiple strategies to match recommendation scenarios to where visitors are in their buying journey.

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