Overview

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Developer System Administrator Merchandiser Merchandising Hub Implementer

Coveo for Commerce boosts marketplace performance with personalized buying experiences. Leveraging advanced artificial intelligence (AI) models fueled by data from every visitor interaction, Coveo tailors product displays based on a multitude of factors, including:

  • Real-time shopping behavior

  • Intent changes

  • Customer profile analysis

  • Similar user habits

  • Frequently added-to-cart items

This level of personalization is reflected throughout the entire shopping experience, powered by the three Coveo product discovery solutions: Search, Product Listing, and Recommendations. When integrated, these solutions ensure that every product displayed aligns precisely with individual visitor preferences.

Buisiness-to-consumer (B2C) and business-to-business (B2B) capabilities

Coveo for Commerce is ideally suited for both B2C and B2B commerce implementations, delivering tailored solutions to meet diverse business needs.

Business-to-consumer (B2C)

Coveo for Commerce is perfectly suited for business-to-consumer (B2C) commerce implementations.

Coveo’s commerce capabilities are designed to help you deliver a personalized shopping experience that drives conversions, improves average order value, and increases the product catalog coverage. It delivers the experience that your customers expect when they shop online and help them find the products they want faster.

Coveo for Commerce offers a range of features that help you deliver an optimal shopping experience, including:

  • Relevant search results

  • Intelligent listing pages

  • Personalized product recommendations

  • Availability channels, including buy online, pick up in store (BOPIS) capabilities

Business-to-business (B2B)

In B2B scenarios, Coveo for Commerce helps remove friction from buyer’s search experience whether they’re looking to browse your product inventory, quickly find a replacement part, or learn more about your products through rich content and videos.

For example, Coveo can automatically recommend products based on past purchases and propensity to buy again. Furthermore, Coveo offers solutions that help you manage complex pricing and entitlements, such as showing different prices to different buying groups.

Features

  • Commerce catalogs: Coveo for Commerce can index your product content and establish relationships between products, variants, and availability channels. Coveo offers support to index content from various sources, such as SAP Commerce Cloud and Salesforce Commerce Cloud.

  • Data tracking: Coveo tracks visitor behavior and interactions with your site, such as clicks, views, and purchases. This data is used to train AI models that power Coveo’s product discovery solutions, as well as to power Coveo’s analytics and reporting features.

  • AI-driven product discovery solutions:

    • Search: Coveo makes searching for products easier with predictive, typo-tolerant search suggestions and AI-powered relevance ranking.

    • Product listings: Coveo provides visitors with the ability to refine their browsing on category pages with dynamic faceting, allowing visitors to sort on criteria such as brand, size, price, and more.

    • Recommendations: Coveo tailors the experience and maximizes cart value, even for first-time users, with machine learning that recommends products based on in-session behavior and current context.

  • Merchandising: Despite the power of AI, manual intervention is sometimes necessary to create an optimal product discovery experience. To help merchandisers achieve their goals and optimize the product discovery experience for their visitors, Coveo offers the Coveo Merchandising Hub (CMH). The CMH is a web-based application that allows merchandisers to manage product catalogs, create rules to promote products, and optimize search results and recommendations. Additionally, it monitors the performance of their merchandising actions through core metrics.

Outcomes

  • Using Coveo’s catalog indexing capabilities, you can make your product content searchable, allowing visitors to find products quickly and easily. This content is used to build product embeddings and vectors that feed Coveo AI personalization models.

  • Coveo’s AI models are built to expand product catalog coverage, which means that more products are displayed to visitors. This ensures that visitors encounter not just frequently purchased or viewed items, but also discover new or less popular yet relevant products tailored to their session.

  • Providing product recommendations favors cross-selling and increases items added to cart, therefore increasing the average order value.

  • The CMH allows merchandisers to achieve their business goals by promoting products and creating rules to optimize results displayed in the three Coveo product discovery solutions.

  • Putting an emphasis on personalization and relevance translates to measurable increases in revenue. You can monitor success with commerce dashboards that measure how search impacts global goals, such as conversion, average order value, and revenue.

Coveo for Commerce implementation skill path

The Implementing Coveo for Commerce Search skill path on Level Up covers the best practices when implementing Coveo for Commerce search features. It’s a great resource to learn the basics in a streamlined fashion before jumping in more specific topics.