Coveo Features

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Queries and pulls enterprise data into a singular knowledge respository

Stores and organizes synthesized data

Analyzes search results to identify trends and patterns

Provides a simple, intuitive search interface for users

Leverages artificial intelligence technology to empower search

Leverages natural language processing technology to empower search

Crawls within the enterprise and outside the enterprise for data points

Provides filters for refined navigation

Leverages machine learning technology to empower search

Monitor the behavior of website and online store visitors

Ability to target website visitors based on behavioral patterns

Adapt the selling process to each visitor, including content and pricing

Provide a library of templates for various purposes such as website engagement or e-commerce

Allows users to customize templates and use them on multiple channels easily

Track the performance of different versions of templates and suggest optimizations

Recommend products based on order history and online behavior

Provide custom content to website visitors based on their online behavior

Deliver messages targeted at buyers who are about to leave an online store

Optimize search based on the role of the user or inventory availability

Machine learning or artificial intelligence that powers the personalization features of the platform.

Tools to automatically recommend products to a customer based on their viewing or purchasing history.

The ability to test various configurations and recommendations to determine which are most successful with customers.

Tools to create personalized messaging based on customer data collected from purchases or viewing history.

Integrate personalized content and recommendations on websites

Define customized email templates which are sent automatically

Include personalization features that are mobile-friendly and responsive

Provides native A/B testing for content and campaigns.

Allows users to build and analyze customer profiles.

Presents messaging depending on customer behavior.

Presents messaging depending on customer context.

Content triggered by customer's given geolocation.

Emails triggered by customer activity or behavior.

Messages triggered by customer activity or behavior.

Provides recommendations based on customer metrics.

Calculates and presents customized discounts.

Personalizes web experiences and presented content based on customer metrics.

Easily digestible visual representations of data collected by the platform.

Data collected from customers to be analyzed by analytics tools or other e-commerce software.

The ability to integrate with a variety of e-commerce software platforms in order to share data and other functionality.

The ability to analyze and visually represent relevant data collected from an e-commerce store and e-merchandising tool.

Data collected from customers that can be used to better refine merchandising efforts to entice similar customers.

Products recommended to customers based on their purchasing or viewing history.

A search function to help customers easily find products in an online store.

Tools to optimize how product images are represented on the site.

Tools to store and organize product images, videos, and 3D renderings.

Tools to optimize and organize product descriptions and other content published to an online store.

The ability to integrate with a variety of e-commerce software in order to share data and functionality.

A means to display relevant reports and other data in one, easily accessible place.

Ability to search across different data sources, such as databases, intranets, and applications.

Offers search for a variety of file types.

Ability to search in multiple languages without any additional work required.

Ability of search to handle typos.

Allows the end user to filter and refine search results.

Ability to define synonyms for search terms.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the user to search in a natural, intuitive manner.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Analyze and index e-commerce data and define searchable fields

Provide algorithms to provide users with suggested results as they type

Define how product information (attributes, brand, type) can be searched and in what combination

Search for alternative variations of a word to deliver more accurate results

Provide recommendations based on what users are searching for

Monitor conversions of shoppers into buyers due to search features

Allow companies to personalize the search experience for their shoppers

Buyers can refine product searches using filters and product attributes.

Rank search results based on relevance, availability, or popularity

Provide integration with e-commerce platforms and shoppping cart software

Integrate with Product Information Management (PIM) software

Support integration with e-merchadising and similar retail software

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allow Gen AI powered chatbots to provide intelligent responses and tailored product recommendations.

Trigger messages based on specific customer actions such as personalized messages, promotions or cart abandonment.

Use Agentic AI to deliver superior customer engagement through human-like conversations.

Allow users to use voice assistants, such as Alexa, Google Assistant, and Siri to shop using voice commands.

Enable users to engage in communication apps such WhatsApp, Facebook Messenger, Instagram, WeChat etc.

Allow integration with e-commerce stores to import products, manage inventory and get order notifications.

Add conversational commerce functionality across various sales channels and customer touchpoints.

Integrate with payment platform for accepting payments from the chat interface

Integrate with CRM, POS or any marketing marketing tools for sending discounts, offers, recommendations and personalized campaigns.

Provide insights into customer behavior, sales trends, and chatbot performance.

Track KPIs like customer satisfaction, conversion rates, and overall sales driven by conversational channels.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Improves performance based on feedback and experience.

Engages in human-like conversation for task delegation.

Anticipates needs and offers suggestions without prompting.

Makes informed choices based on available data and objectives.

Recommends relevant queries as user searches.

Ability of search to handle typos.

Ability to define synonyms for search terms.

Allows the user to search in a natural, intuitive manner.

Adjust the ranking of the search results for certain keywords.

Ability to deliver tailored search experiences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to integrate across business systems and websites.

Ability to search across different data sources, such as multiple domains, brand sites, etc.

Ability to search in multiple languages without any additional work required.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models

Enable the system to understand and interpret natural-language queries

Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications.

Ability to search in multiple languages without any additional work required.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results.

Ability of search to handle typos.

Ability to define synonyms for search terms.

Modifies search results based on individual user roles, attributes, or prior activity.

Generates recommendations based on user search activity and content interactions.

Recommends additional content related to the current query or viewed item.

Analyzes user queries to interpret intent and deliver contextually relevant results beyond exact keyword matching.

Adjusts how user queries are interpreted based on session behavior, user attributes, or prior interactions.

Processes full natural language queries to understand phrasing, structure, and contextual meaning.

Indexes content from multiple connected applications or data sources into one search experience.

Indexes both structured records and document-based content such as files and web pages.

Updates indexed content automatically as source data changes.

Ranks search results based on relevance instead of simple keyword matches or date order.

Allows administrators to modify how search results are ranked and prioritized.

Uses search activity and engagement patterns to improve result ordering over time.