My main use case for Coveo is on one of my e-commerce websites where I have used it as a search platform that allows users to search for products, filter results, and view metadata and details. I have integrated Coveo into my web application. A specific example of how Coveo helps users on my e-commerce site is that it has streamlined website searches significantly. We have a large catalog of products, and each customer is categorized by certain preferences. Coveo has helped us identify those preferences and show specific products to specific users. It is AI-powered, and it is remarkable how it works behind the scenes.
Senior Staff Engineer at a tech vendor with 10,001+ employees
MSP
Top 10
Apr 3, 2026
My main use case for Coveo involves working on SAP Commerce technology where we built an e-commerce solution for one of our clients who faced issues while performing smart product searches on the site. Coveo provides AI-driven search results and proper recommendations based on customer interaction and context, which is very beneficial for us because it improves our order conversion rate, allowing customers to find the exact products they want and see similar products, greatly increasing upselling. A specific example of how Coveo helped solve the smart search issue for our client is that it offers personalized recommendations based on customer interaction rather than global recommendations. We send an event to Coveo, and based on that event for a particular user, Coveo sends personalized recommendations, which is crucial as customers searching for products receive recommendations based on what other similar users have purchased. Coveo's flexibility allows us to create recommendations based on strategies like recently viewed or most purchased products, and it integrates easily with SAP Commerce, making it straightforward for us to index all products in Coveo, which uses a machine learning model. We can configure a search result via a query configuration pipeline, which adds to the flexibility and intuitiveness of using Coveo as it continually updates with new features like real-time facet management that requires no technical knowledge to implement. Coveo greatly helps our customers, as we use it not only for product search but also for content search. Its indexing capabilities are versatile, utilizing various approaches like pull or push methods, and its AI model effectively responds to user interactions. Coveo enables us to configure all aspects of the search page, from facet ordering and priorities to sorting criteria, which can be done easily through the customer merchandising hub, enhancing workflow efficiency and increasing customer satisfaction as users receive relevant search results effortlessly.
Indexing and Search solutions streamline the retrieval of information by organizing data efficiently. These tools are essential for businesses needing quick access to large volumes of data.
Effective Indexing and Search solutions are critical for maintaining productivity in data-intensive environments. They enable users to sift through vast amounts of information quickly, extracting relevant details without manual effort. These solutions support various data types and formats,...
My main use case for Coveo is on one of my e-commerce websites where I have used it as a search platform that allows users to search for products, filter results, and view metadata and details. I have integrated Coveo into my web application. A specific example of how Coveo helps users on my e-commerce site is that it has streamlined website searches significantly. We have a large catalog of products, and each customer is categorized by certain preferences. Coveo has helped us identify those preferences and show specific products to specific users. It is AI-powered, and it is remarkable how it works behind the scenes.
My main use case for Coveo involves working on SAP Commerce technology where we built an e-commerce solution for one of our clients who faced issues while performing smart product searches on the site. Coveo provides AI-driven search results and proper recommendations based on customer interaction and context, which is very beneficial for us because it improves our order conversion rate, allowing customers to find the exact products they want and see similar products, greatly increasing upselling. A specific example of how Coveo helped solve the smart search issue for our client is that it offers personalized recommendations based on customer interaction rather than global recommendations. We send an event to Coveo, and based on that event for a particular user, Coveo sends personalized recommendations, which is crucial as customers searching for products receive recommendations based on what other similar users have purchased. Coveo's flexibility allows us to create recommendations based on strategies like recently viewed or most purchased products, and it integrates easily with SAP Commerce, making it straightforward for us to index all products in Coveo, which uses a machine learning model. We can configure a search result via a query configuration pipeline, which adds to the flexibility and intuitiveness of using Coveo as it continually updates with new features like real-time facet management that requires no technical knowledge to implement. Coveo greatly helps our customers, as we use it not only for product search but also for content search. Its indexing capabilities are versatile, utilizing various approaches like pull or push methods, and its AI model effectively responds to user interactions. Coveo enables us to configure all aspects of the search page, from facet ordering and priorities to sorting criteria, which can be done easily through the customer merchandising hub, enhancing workflow efficiency and increasing customer satisfaction as users receive relevant search results effortlessly.