This video, we'll showcase how Coveo helps retailers and brands align search with shopper intent. From helping shoppers find the right products faster to supporting more natural discovery journeys with conversational experiences. To bring this to life, we'll follow Barca Sports, a fictional retailer selling paddleboards, surfboards, and accessories direct to consumers. Like many B2C retailers, Barca was grappling with a number of key initiatives. Firstly, they need to optimize product discovery to drive revenue growth. Second, they want to deliver personalized experiences that resonate with each shopper. Third, they need to provide customers with experiences that feel as natural and conversational as the AI interactions they are increasingly accustomed to. These experiences need to be backed by a platform that is designed to scale across brand sites, regions, growing catalogs, and ongoing updates. In addition, the platform needs to empower merchandisers to take control of the shopping experience without relying on technical teams. Let's see how Coveo helps Barca Sports achieve these goals. At the heart of product discovery is a single unified search bar. As soon as a shopper starts typing, intelligent query suggestions appear driven by machine learning that blends collective behavior and is smart enough to handle spelling mistakes. When a shopper searches, Coveo instantly delivers a ranked list of results by combining multiple layered AI models, blending lexical and semantic understanding with popularity signals and intent detection to surface the most relevant products. Leveraging semantic understanding helps reduce the likelihood of customers encountering zero results, even when the terms they use don't appear in the product catalog. Using business rules, merchandisers can strategically boost key products, ensuring the right items get the visibility they deserve. Merchandisers can also apply badges to key products to highlight and promote featured items. To help shoppers find the most relevant product, Coveo's dynamic navigation model automatically surfaces and orders the most relevant filters based on the type of product being browsed. Searching for wet suits returns different facets than those shown for paddleboards, allowing Barca to surface contextually relevant facets that help customers refine their selection without relying on static one size fits all options. In addition, if customers consistently use the length filter when browsing paddleboards, Coveo will automatically promote it to a more prominent position. By drilling down onto a product details page, shoppers can explore additional product information alongside personalized recommendations. Coveo offers a range of AI powered machine learning models and strategies to surface relevant products, including items frequently bought together, trending pics, and products viewed by similar shoppers. When searching for a product, shoppers frequently move between search and product listing pages, making it essential to optimize both. Coveo's Listing Page Optimizer uses AI to dynamically rank products based on shopper behavior and business goals, ensuring every listing page drives relevance, discovery, and revenue. As shoppers browse, Coveo continuously captures real time behavior signals to power its intent aware product ranking model, dynamically reordering results based on in session activity and product catalog relationships to surface the most relevant products at precisely the right moment. Because we previously searched for a paddleboard, the paddleboard jacket is ranked more prominently when we search for jacket. While traditional search works well for simple queries, large language models have trained shoppers to ask more complex nuanced questions that they once reserved for an expert. Coveo recognizes the intent behind those questions and seamlessly guides them into a conversational experience. The conversational product discovery agent leverages agentic reasoning and retrieval to understand the shopper's intent, dynamically select a layout, retrieve the right products from a catalog, and stream a structured UI response. In this example, the agent recognized that the shopper needed guidance, so it responded with a clear product overview summarizing the key details and features of each option. In this example, the agent recognized that the shopper needed guidance, so it responded with a clear product overview summarizing the key details and features of each option. With a persistent conversation context, shoppers can ask follow-up questions to the agent, like asking for a comparison between two products, which instantly surfaces a side by side product comparison. The agent intelligently selects the right layout for each response type, choosing from a set of predefined merchandising controlled layouts that ensure brand consistency and optimize product presentation across every interaction. The Coveo conversational product agent enhances customer engagement on Barca by helping shoppers find the right products, discover new ones, and get answers conversationally. Let's take a look behind the scenes to see what's powering these experiences. Underpinning the entire experience is a highly scalable platform that unifies an organization's content and data into a single searchable index, reducing complexity while handling even the most intricate multidimensional data with built in multilingual support. In addition, the Coveo platform provides Merchandising Hub, which gives merchandising teams the full visibility and control over product listings, search queries, recommendations, facets, and badging, ensuring merchandiser rules sit on top of AI to surface the right products, control how they're presented, and tailor placement to specific business needs. Rich dashboards empower merchandisers with real time visibility into key performance metrics and trends, enabling them to make smarter, data driven decisions with greater speed and confidence. To further support merchandisers, the hub includes an agent that enables them to ask questions to help surface insights in the data and prepare actions for approval to implement rule changes. Throughout this video, we've seen how Barca Sports leverages the Coveo AI platform to optimize product discovery, deliver personalized experiences, empower confident customer purchasing decisions, scale their search infrastructure, and empower their merchandise transforming their online shopping experience into a lasting competitive advantage with Coveo.
Coveo for B2C Commerce
This video demonstrates how Coveo helps retailers and brands align search with shopper intent, from faster product discovery to conversational experiences that guide shoppers to a purchase decision.
Watch it now to discover:
- How AI-powered search blends lexical and semantic understanding with popularity and intent signals to keep results relevant, even when a shopper's search terms don't match the catalog
- How dynamic facets and product recommendations adjust automatically based on what's being browsed and how shoppers behave in session
- How the Coveo handles natural language questions and product comparisons within merchandiser-controlled layouts
Built to Understand Shopper Intent
Shoppers expect search to keep up with how they actually browse and ask questions, not just match keywords. Coveo blends AI ranking, real-time behavior signals, and conversational discovery into one experience, so shoppers find the right product faster. Merchandisers keep full control over what's surfaced, how it's presented, and where it appears, without relying on technical teams for every change.



















