--- title: Commerce product discovery solutions slug: o53d9587 canonical_url: https://docs.coveo.com/en/o53d9587/ collection: coveo-for-commerce source_format: adoc --- # Commerce product discovery solutions This article introduces the three product discovery solutions that Coveo for Commerce provides: [_Search_](#search), [_Product listings_](#product-listings), and [_Recommendations_](#recommendations). It's intended for developers building storefronts, merchandisers tuning product rankings, and administrators configuring the platform. For step-by-step implementation guidance, see the [What's next](#whats-next) section. On an ecommerce website or application, Coveo for Commerce offers tools for personalized product discovery, enhancing the browsing experience through tailored [_Search_](#search), [_Product listings_](#product-listings), and [_Recommendations_](#recommendations). ## Search The _Search_ product discovery solution allows visitors to find products by entering keywords in a search box. Visitors enter a search [query](https://docs.coveo.com/en/231.md), 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](https://docs.coveo.com/en/n9sd0159.md) feature. The search experience is powered by [Coveo Machine Learning (Coveo ML)](https://docs.coveo.com/en/188.md) [models](https://docs.coveo.com/en/1012.md) that leverage visitor interactions to provide the most relevant results to each unique individual. The Search solution provides these Coveo ML capabilities: * Relevant query suggestions: The [Coveo Platform](https://docs.coveo.com/en/186.md) suggests personalized queries as visitors type in the search box. These suggestions can be powered by either a [Predictive Query Suggestion (PQS)](https://docs.coveo.com/en/m1ol5526.md) or [Query Suggestion (QS)](https://docs.coveo.com/en/1015.md) model. * Intent-aware search results: The [Intent-Aware Product Ranking (IAPR)](https://docs.coveo.com/en/m61h0552.md) model ranks search results based on visitor intent and adapts in real time, so the most relevant products are displayed at the top of the search results. 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)](https://docs.coveo.com/en/1013.md) model. The _Search_ product discovery solution can be implemented on your digital storefront by [configuring your search page](https://docs.coveo.com/en/o4ue0200.md). ![Search discovery experience | Coveo](https://docs.coveo.com/en/assets/images/coveo-for-commerce/images/search-discovery.gif) ## Product listings The _Product listings_ product discovery solution allows visitors to browse products by navigating through categories and [facets](https://docs.coveo.com/en/198.md). 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)](https://docs.coveo.com/en/1013.md) 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](https://docs.coveo.com/en/p33g0410.md) by [configuring listing pages](https://docs.coveo.com/en/o4ue0471.md). 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](https://docs.coveo.com/en/ncce0176.md) for details and instructions. ![Listing discovery experience | Coveo](https://docs.coveo.com/en/assets/images/coveo-for-commerce/images/listing-discovery.gif) ## 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. _Recommendations_ display the most relevant products to each visitor using Coveo [Product Recommendation (PR)](https://docs.coveo.com/en/3132.md) 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](https://docs.coveo.com/en/o4ue0204.md). 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. ![Recommendation discovery experience | Coveo](https://docs.coveo.com/en/assets/images/coveo-for-commerce/images/recommendation-discovery.gif) [#whats-next] ## What's next Implement each product discovery solution on your storefront: * [Build commerce search pages](https://docs.coveo.com/en/o4ue0200.md) * [Build commerce product listing pages](https://docs.coveo.com/en/o4ue0471.md) * [Build commerce recommendation interfaces](https://docs.coveo.com/en/o4ue0204.md) Once implemented, use the [Product listings manager](https://docs.coveo.com/en/ncce0176.md) to tune product rankings on listing pages.