Coveo, the leader in AI-powered relevance for digital experiences, has announced the launch of Coveo Conversational Product Discovery, a new capability within Coveo for Commerce that allows shoppers to discover products through natural language conversations embedded directly within the search experience. The solution aims to unify conversations and commerce search without fragmenting the shopping journey.
Coveo launched Conversational Product Discovery, embedding natural language conversations directly into commerce search.
Unlike standalone chatbots, the solution integrates conversation into search while retaining speed, relevance, and merchandising control.
Shoppers can describe needs in natural language, refine results with follow-up questions, compare products, and build bundles.
Built on Coveo’s agentic orchestration architecture, the discovery agent interprets intent and grounds results in catalog data and merchandising rules.
Retail teams maintain control through defined layouts, content guardrails, and merchandising directives.
The capability is available today as an add-on feature for Coveo for Commerce.
Shoppers often struggle to express their needs through keyword searches, leading to dead ends or irrelevant results. Coveo Conversational Product Discovery addresses this by allowing shoppers to describe what they need in their own words and receive curated product results grounded in catalog data. The experience supports context-aware conversational refinement and product education within search, helping shoppers move from exploratory intent to confident purchase decisions faster.
Unlike standalone AI chatbots that fragment shopping journeys, Coveo Conversational Product Discovery integrates conversation into the core of commerce search while retaining the speed, relevance, and merchandising control that is part of a traditional search experience.
With Coveo Conversational Product Discovery, shoppers can:
Describe shopping needs using natural language
Receive curated product results quickly
Refine results through follow-up questions
Compare products and key attributes
Build bundles of complementary products
Built on Coveo’s agentic orchestration architecture, the discovery agent coordinates multiple AI capabilities to interpret shopper intent, retrieve relevant products from a retailer’s catalog, and assemble responses that remain grounded in catalog data and merchandising rules. Retail teams maintain control through defined layouts, content guardrails, and merchandising directives that shape how results appear.
Key benefits include:
Turning exploratory traffic into revenue by guiding shoppers from vague needs to curated product selections
Preserving high-performing search experiences by augmenting search rather than replacing it with chatbots
Maintaining merchandising control through deterministic layouts and policy-driven AI execution
Dynamically structuring conversational responses through adaptive layouts that combine products, comparisons, and guidance in a cohesive results view
Reducing dead-end experiences with guided refinements and next-best suggestions
Coveo Conversational Product Discovery is available today as an add-on feature for Coveo for Commerce. The launch reflects Coveo’s broader strategy of embedding AI-powered relevance across digital experiences, enabling enterprises to connect data to customers and employees in more intuitive ways.
“Shoppers don’t think in keywords,” said Peter Curran, general manager of Commerce at Coveo. “Imagine if someone walked into a store and just said ‘shoes’. Unfortunately, most digital stores can handle that only if they’re lucky.”
About Coveo
Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect their data to their customers and employees to maximize business outcomes.
Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person’s journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products.