Google introduces retail search for e-commerce sites


A new solution for e-commerce sites provides Google-quality search and recommendations on retailers’ digital properties.

Google Cloud announced the release of Retail Search, a tool designed to give retailers the capabilities of Google’s search engine on their own domains.

Built with Google technologies that understand user context and intent, it is intended to help businesses improve on-site search and the overall shopping experience.

Bad user experiences are costing online retailers

A survey by The Harris Polls and Google Cloud found that bad online experiences cost US retailers $300 billion each year, with 76% of consumers reporting unsuccessful searches leading them to forgo purchases on retail websites by retail.

Conversely, good search experiences have been shown to correlate with higher purchase conversion, larger orders, and brand loyalty, with 69% of customers saying they purchased additional items after a successful search experience. .

Retail Search hopes to solve both sides of this problem, minimizing search abandonment and encouraging sales by improving the customer experience.

Key Intent and Context for Successful Searches

As part of its ongoing mission to provide users with better search results, Google’s search algorithms are constantly updated to better understand user intent and return relevant results faster. Retail Search applies this principle to the shopping experience.

Google’s industry-leading artificial intelligence gives Retail Search advanced query understanding, produces better product search results and better recommendations, even from broad queries.

Create better customer experiences

Fully managed and customizable, Retail Search enables organizations to create shopper-centric search experiences. Leveraging search engine indexing, retrieval and ranking, it seeks to make product discovery easier for shoppers, while optimizing retailers’ business goals.

Merchants can apply business rules to refine what customers see, diversify product displays, filter by availability, and add custom tags as they see fit. This allows them to get the desired results in terms of engagement, revenue, or conversions.

Capabilities include:

  • Advanced understanding of queries – A more precise understanding of what researchers want produces better results.
  • Semantic search – Effectively matching product attributes with website content creates quick and relevant product discovery.
  • Optimized results – Results leverage user interaction and ranking models to achieve specific business goals.
  • Advanced security and privacy – Strong access controls protect retailers’ data and ensure that it is only used to provide relevant search results on their own properties.

Retail Search joins a suite of product discovery solutions

Retail Search is the latest addition to Google Cloud’s Product Discovery Solutions, a collection of tools designed to increase retail operational efficiency, streamline digital shopping experiences, and respond to changing consumer preferences.

This is a result of ongoing retail market analysis and commitment to innovation by Google’s internal media teams as they seek to find new ways to help businesses maximize their results in a changing digital landscape.

It joins current Google Cloud offerings Vision Product Search, which uses machine learning-based object recognition and search to provide similar or complementary items from product catalogs, and Recommendations AI, which provides product recommendations relevant to driving engagement across all channels.

The entire suite allows e-commerce owners to integrate data, manage models, and monitor performance through a graphical interface. It integrates with existing tools including Google Analytics 360, Tag Manager, and BigQuery.

Read Google Cloud’s blog on Retail Search here.

Featured Image: Rafapress/Shutterstock


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