Home Artificial Intelligence Shopify and Google Cloud AI intelligence mix supports online business capacities

Shopify and Google Cloud AI intelligence mix supports online business capacities

by thetechmarketer

Shopify and find out about Cloud have divulged a mix that empowers retailers utilizing Trade Parts – Shopify’s venture retail arrangement – to use Google-quality hunt capacities and simulated intelligence developments.

Venture brands on Shopify can today get to find out about Cloud’s Revelation Al arrangements straightforwardly through Trade Parts, Shopify’s cutting-edge, composable stack for big business retail. This joining, which can now be utilized by Shopify shippers universally and is accessible in many dialects, expands admittance to find out about’s cutting edge search and perusing advancements with the goal that retailers can make more liquid and productive shopping encounters for their clients.

Shopify and Google Cloud’s new integration equips enterprise brands with artificial intelligence (AI)-driven product discovery capabilities that address real-world business challenges, including: 

  • Google Cloud Retail Searchwhich provides advanced query understanding that can produce better results from even broad queries, including non-product and semantic searches, to effectively match product attributes with website content for fast, relevant product discovery. 
  • An AI-powered browse feature that uses machine learning to select the optimal ordering of products on a retailer’s e-commerce site once shoppers choose a category, like “women’s jackets” or “kitchenware.” Over time, the AI learns the preferred product ordering for each page on an e-commerce site using historical data, optimizing how and what products are shown for accuracy, relevance, and likelihood of making a sale. 
  • An AI-driven personalization capability that customizes the results customers get when they search and browse retailers’ websites. The AI underpinning the personalization capability uses a customer’s behavior on an e-commerce site, such as their clicks, cart, purchases, and other information, to determine shopper tastes and preferences. 
  • A Google Cloud Recommendations AI solution that helps retailers deliver personalized recommendations at scale. Recent upgrades to Recommendations AI can make a retailer’s e-commerce properties even more personalized, dynamic, and helpful for individual customers.
  • Advanced security and privacy practices help ensure retailer data is isolated with strong access controls and is only used to deliver relevant search results on their own properties.

Harley Finkelstein, leader of Shopify, said: “We’re excited to proceed with our well-established association with Google Cloud.

“We’re uniting the most incredible in trade with the best in search to tackle a mind-boggling and exorbitant issue for big business retailers – elite hunt and disclosure for the web-based store.”

Thomas Kurian, Chief of Google Cloud, said: “Shopify coordinating Google Cloud’s Revelation simulated intelligence innovation into its endeavor retail arrangement puts the force of man-made intelligence straightforwardly under the control of vendors and brands to take care of regular issues.

“Presently, retailers will actually want to improve their computerized properties with better item revelation encounters, making really satisfying shopping encounters for their clients.”

Rainbow Shops builds a better customer experience with Google Cloud search technology

Rainbow Shops, a Shopify merchant and popular retail apparel chain with more than 1,000 stores, recently integrated Google Cloud’s Discovery AI for Retail technology directly into its own digital domains. After experiencing limitations with other search and product discovery solutions, Rainbow Shops approached Shopify about the possibility of using Google Cloud’s search and browse capabilities. 

When compared to other specialty search services, Rainbow Shops’ internal testing found that Google Cloud’s solution could deliver helpful results to an assortment of test queries 100% of the time. In addition to accuracy, Rainbow Shops saw an immediate reduction in the amount of time and effort its teams previously spent on manually refining search results, creating redirects, and pulling up to 50 other levers to get useful results.

Rainbow Shops is now using Google Cloud’s Retail Search technology, and importantly, it took less than a week for Google Cloud’s AI tools to be successfully integrated into Rainbow Shops’ online store and mobile app—all right before last year’s peak shopping moment for the retailer, Cyber Week. 

David Cost, VP of e-commerce and marketing, Rainbow Shops, said: “Now our search bar can handle almost anything our shoppers throw at it, surfacing helpful product results for nuanced queries like ‘lbd’ (little black dress) and extremely general searches like ‘Mardi Gras.’ We’ve also significantly advanced our ability to produce relevant results when a shopper has a typo in their query, which is commonly seen among our many customers now shopping on mobile devices.

“Rainbow Shops is using Google Cloud’s AI tools to create an undeniably better shopping experience for our customers. In just three months we’ve already seen search volume increase 48% and our bounce rate on visits has decreased three-fold.”

Consistency lacking in retailer search experiences, resulting in search abandonment

Despite the continued rise in online shopping, many shoppers report hurdles in the product discovery experience on retailers’ ecommerce properties. New research from a Google Cloud-commissioned Harris Poll survey found that search abandonment—when a shopper searches for a product on a retailer’s website or mobile app, but doesn’t find what they are looking for—costs retailers more than $2 trillion annually globally, and more than $234 billion in the U.S. alone.

Shoppers themselves say they depend on the search function or search box when shopping; it’s the most common way U.S. consumers search for products on retail websites (69%), followed closely by general website browsing (63%). The problem is that retailers’ search experiences lack consistency, as only one in 10 U.S. shoppers say they get exact results for their queries (12%) or good alternatives (11%) every time they use the search function on a retailer’s site. In fact, more than three in four U.S. consumers (76%) say that in the past month they have used the search function or search box on a retail website and it did not provide the item they were looking for. 

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