Recommendations AI
powered by Google Cloud Vertex AI Search for Retail

Next-generation Google-quality recommendations that drive customer engagement, loyalty, and revenue

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GroupBy Recommendations AI provides your online shoppers with hyper-personalized recommendations such as 'others you may like' and 'frequently bought together'

Trusted by world leading brands

State-of-the-art intelligent personalized recommendations for today’s online buyers

GroupBy's recommendations AI provides relevant and personalized product recommendations. Graphic shows two online shoppers searching for office chairs. Each shopper has been recommended unique results tailored to their own tastes

The power of true Artificial Intelligence

Generating the most relevant and personalized product recommendations by leveraging personalization algorithms without any machine learning and AI expertise. Recommendations AI draws on Google’s experience delivering personalized content across flagship properties such as Google Search, Google Shopping and YouTube to deliver personalized recommendations that suit each customer’s tastes and preferences across all your touchpoints.

Curate your product recommendations by marking products as sponsored, best sellers, new and more.

Curated Recommendations

Each machine learning model is created to optimize for a specific objective such as click-through rate (CTR), revenue per order, and conversion rate (CVR). Recommendations models are retrained daily, ensuring that every algorithm considers user behavior on your site. Merchandising teams are able to refine out-of-the-box recommendations further to meet the specific outcomes of the business.

Recommendations at every touchpoint through the shopper journey - search results, product display page, add to cart and checkout

Engage customers at every touchpoint

Retailers and wholesalers can implement Google-quality recommendations that are based on Google’s semantic and contextual understanding of user intent on any page of the user journey, from the home page to the checkout page and across multiple channels such as your website, mobile, email, contact center, and more.

cross-sell and up-sell eCommerce product recommendations such as 'others you may like' and 'frequently bought together

Personalized cross-sell and up-sell opportunities

Cross-sell products throughout the user journey - search or browse, product pages, add to cart, and checkout - to increase engagement with recommendations, basket size, and average order value. Further personalize the customer experience with upsell strategies that influence buyers to purchase more expensive items, upgrades or add-ons to increase the order value.

eliminate buyer frustration by supplying your eCommerce shoppers with recommended product alternatives on no results pages

Frictionless buyer experience

Ease user frustration by offering recommended product alternatives on no results pages and overcome cold-start challenges where no customer or product data exists, by leveraging Google Cloud’s years of experience which draws upon recommendations and search expertise used by billions of people across the world.

Composable Commerce Solutions

Leverage best-in-class, headless, cloud-native commerce solutions that fit into your existing technology stack and satisfy your specific business requirements. GroupBy's flexible, modular architecture supports agile delivery and faster time to market while lowering total cost of ownership (TCO) of your commerce platform.

Recommendations AI Features and Capabilities

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Recommendation Model Types

Select specific recommendation models that works best with your business strategy

Others you might like

Frequently bought together

Recommended for you

Search-Based Recommendations

Incorporate search-based recommendations to improve product findability

Bestsellers
New Arrivals
Trending products
Top-rated products

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Search-based recommendations improve product findability, such as bestsellers, new arrivals, trending products and top-rated products

Merchandising Optimization

GroupBy’s sophisticated and easy-to-use merchandising platform, Command Center, provides the following functionality:

Ranking models optimized for revenue and business impact
Automatically boost products to a target audience
Reduce manual curation and configuration
Configure fallback logic to avoid zero recommendations

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GroupBy's Command Center helps further refine and customize strategies with merchandising controls while reducing the need for manual curation

Real-Time Predictions

All retrieved recommendations are in real-time optimizing product findability and cross-sell/upsell opportunities

Product recommendations are updated in real-time and dynamically adapt to real-time user behavior and changes in variables like assortment, pricing, and special offers
Each retrieved recommendation considers previous user activity such as product views, add to cart events, and orders
Analyze search and browsing behavior in real-time

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Recommendations in real-time optimizing product findability and cross-sell/upsell opportunities

Omnichannel Recommendations

Personalize the entire buyer journey at every touchpoint and on every channel

Website recommendations
Recommendations on mobile apps
Personalized email recommendations
Store kiosks or call center applications

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GroupBy's omnichannel recommendations AI solution is scalable to meet the needs of todays concumers. Optimize inventory, availability, and store/zip code level search across all mobile and desktop devices while supporting all fulfillment types (online delivery, BOPIS, curbside pick-up, same-day delivery)

Start improving your Digital Customer Experience Today!

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How it works.

Integration

Easily integrate our Recommendations API into your headless eCommerce suite to enable a rich search experience for shoppers.

Platform Agnostic

Seamlessly use eCommerce platforms such as Salesforce, Magento, Websphere, Hybris, ATG, and others.

Command Center

Use Command Center, GroupBy’s merchandising platform, to set up and maintain any configuration, and access data insights.

Realize immediate results with Recommendations AI

Increase in
Revenue per Visit

Increase in
Add to Cart

Increase in
Conversion Rate

CASE STUDY

Creating better experiences and increasing sales by bringing the store experience online

The Enrich solution for Crate and Barrel began by expanding the product "vocabulary". The solution allows each shopper to easily build their own navigation by adding and removing product preferences to create the most relevant product selection set for them.

CASE STUDY

Creating better experiences and increasing sales by bringing the store experience online

The Data Enrichment solution for Crate and Barrel began by expanding the product “vocabulary.” The solution allows each shopper to easily build their own navigation by adding and removing product preferences to create the most relevant product selection set for them.

CASE STUDY

GroupBy’s site search technology with Personalized Relevance™ helped Swanson build its next-gen experience of online shopping

Swanson saw significant growth across all of their critical metrics. Within the year, the search click-through rate increased by over 50%. Search add-to-cart rate increased over 65% and the conversion rate increased over 60%.

CASE STUDY

Leading wholesaler attributes 2000% revenue boost to GroupBy

“In working with GroupBy, we found that we saved significantly in IT costs, were able to reallocate IT resources to higher priority tasks and enable our eCommerce team to quickly and effectively update the site,” commented the Senior Director

Learn more about GroupBy's Product Discovery Platform

Power your eCommerce site with GroupBy's product discovery technology featuring Google-quality Search and Recommendations using state-of-the-art ML and AI models, Data Enrichment and an intuitive Merchandising platform with actionable analytics.

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