Friday, August 19, 2022

Google Cloud helps retailers enhance e-commerce

Google Cloud has announced the launch of Product Discovery Solutions for Retail.

According to the company, this suite of solutions has been built to help retailers around the globe enhance their e-commerce capabilities and deliver “highly personalised” consumer experiences in the first phase of their shopping journeys.

With Google Cloud’s Product Discovery Solutions for Retail, retailers can implement seamless search and recommendation capabilities that are said to enhance consumer engagement and improve conversions across retailers’ own digital properties.

The global retail industry, says Google Cloud, is now facing one of its most unpredictable periods to date, as businesses adapt to Covid-19.

Google Cloud Vice President of Retail and Consumer Carrie Tharp says as the shift to online continues, smarter and more personalised shopping experiences will be even more critical for retailers to rise above their competition.

“Retailers are in dire need of agile operating models powered by cloud infrastructure and technologies like artificial intelligence and machine learning to meet today’s industry demands,” she says.

“We’re proud to partner with retailers around the world and bring forward our Product Discovery offerings to help them succeed.”

Features

Google Cloud’s Product Discovery Solutions for Retail is claimed to bring together “state-of-the-art” AI algorithms with the “highly scalable” infrastructure of Google Cloud.

Google Cloud’s Product Discovery Solutions for Retail include:

  • Recommendations AI – enables retailers to deliver highly personalised product recommendations at scale and across all channels.
  • Vision API Product Search – allows retailers to adapt to how today’s consumers are finding product inspiration and discovery whether that happens from retailer specific websites or on any social media platforms.
  • Google Cloud Search for Retail – available in Private Preview, this feature pulls from Google’s “deep understanding” of user intent and context to provide retailers with high-quality product search functionality that can be embedded into their websites and mobile applications.

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