Google launches suite of AI-powered solutions for retailers

Google today announced the launch of Product Discovery Solutions for Retail, a suite of services deigned to enhance retailers’ ecommerce capabilities and help them deliver personalized customer experiences. Product Discovery Solutions for Retail brings together AI algorithms and a search service, Cloud Search for Retail, that leverages Google Search technology to power retailers’ product-finding tools.

The pandemic and corresponding rise in online shopping threaten to push supply chains to the breaking point. Early in the COVID-19 crisis, Amazon was forced to restrict the amount of inventory suppliers could send to its warehouses. Ecommerce order volume has increased by 50% compared with 2019, and shipment times for products like furniture more than doubled in March. Moreover, overall U.S. digital sales have jumped by 30%, expediting the online shopping transition by as much as two years.

Product Discovery Solutions for Retail, which is generally available to all companies as of today, aims to address the challenges with AI and machine learning. To that end, it includes access to Google’s Recommendations AI, which uses machine learning to dynamically adapt to customer behavior and changes in variables like assortment, pricing, and special offers.

Recommendations AI, which launched in beta in July and is now generally available, ostensibly excels at handling recommendations in scenarios with long-tail products and cold-start users and items. Thanks to “context-hungry” deep learning models developed in partnership with Google Brain and Google Research, it’s able to draw insights across tens of millions of items and constantly iterate on those insights in real time.

Google Recommendations AI

From a graphical interface, businesses using Recommendations AI can integrate, configure, monitor, and launch recommendations while connecting data by using existing integrations with Merchant Center, Google Tag Manager, Google Analytics 360, Cloud Storage, and BigQuery. Recommendations AI can incorporate unstructured metadata like product name, description, category, images, product longevity, and more while customizing recommendations to deliver desired outcomes, such as engagement, revenue, or conversions. And it lets Google Cloud customers apply rules to fine-tune what shoppers see and diversify which products are shown, filtering by product availability and custom tags.

Product Discovery Solutions for Retail also includes access to Google’s Vision API Product Search, which allows shoppers to search for products with an image and receive a ranked list of visually and semantically similar items. Google says Vision Product Search taps machine learning-powered object recognition and lookup to provide real-time results of similar, or complementary, items from retailers’ product catalog.

Beyond Recommendations AI and Vision API Product Search, Product Discovery Solutions for Retail ships with Cloud Search for Retail. Cloud Search for Retail, which is currently in private preview, pulls from Google’s understanding of user intent and context to provide retail product search functionality that can be embedded into websites and mobile apps.

“As the shift to online continues, smarter and more personalized shopping experiences will be even more critical for retailers to rise above their competition,” Google Cloud retail and consumer VP Carrie Tharp said in a statement. “Retailers are in dire need of agile operating models powered by cloud infrastructure and technologies like artificial intelligence and machine learning (AI/ML) to meet today’s industry demands. We’re proud to partner with retailers around the world and bring forward our Product Discovery offerings to help them succeed.”

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