Recommendations AI
powered by Google Cloud Discovery AI

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

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Trusted by world leading brands

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

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.

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.

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.

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.

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.

Recommendations AI Features and Capabilities

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Recommendation Model Types

Select specific recommendation models that works best with your business strategy

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Search-Based Recommendations

Incorporate search-based recommendations to improve product findability

Bestsellers
New Arrivals
Trending products
Top-rated products

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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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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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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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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.

BLOG / RECOMMENDATIONS AI

Machine Learning Improves the eCommerce Experience

Machine learning allows vendors to get on with what they’re good at; meeting the needs of the customer; all while being confident in the knowledge that the user and search data more accurately and efficiently matches products to customers’ specific needs.

BLOG / RECOMMENDATIONS AI

Clearing the Path to Conversions: Eliminating Friction from Your Buyer Journey

While Covid-19 has been a trial for us all, it has also created the tipping point for digital commerce: 60% of interactions took place online in 2020 vs 42% in 2019.

BLOG / RECOMMENDATIONS AI

Recognizing Customer Intent to Boost Your eCommerce Revenue

Beacons or tracking codes are set up to capture customer actions, intentions and behaviors on your website. They follow the entire funnel, from searches to views to refinements and final checkout...

NEW POST: Quick Tech Tips for Search Abandonment – Search abandonment costs retailers worldwide over $2 trillion annually. Here are 3 key tips to optimize your search experience and increase sales

NEWS: GroupBy announces significant updates to its Product Discovery Platform, powered by Google Cloud Discovery AI, offering its customers more insight, control and visibility

We'll be at B2B Online Chicago - Find us at booth #302 | May 01 - 03, 2023 at Marriott Chicago Downtown, Illinois

Search AI

Merchandising

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