On retailers’ digital properties, a new solution for eCommerce sites provides Google-quality search and recommendations.
Retail Search, a tool designed to give retailers the capabilities of Google’s search engine on their own domains, has been released by Google Cloud.
It is designed to help businesses improve on-site search and the overall shopping experience by utilizing Google’s technologies that understand context and user intent.
Online retailers pay a price for poor user experiences
According to a survey conducted by The Harris Polls and Google Cloud, bad online experiences cost U.S. retailers $300 billion per year, with 76 percent of consumers reporting that unsuccessful searches led them to avoid making purchases on retail websites.
Good search experiences, on the other hand, have been linked to higher purchase conversion, larger orders, and brand loyalty, with 69 percent of customers reporting buying more items after a successful search.
By improving customer experiences, Retail Search hopes to address both sides of this issue, reducing search abandonment and encouraging sales.
The importance of intent and context in successful searches cannot be overstated
Google’s search algorithms are constantly updated to better understand user intent and return relevant results faster as part of its ongoing mission to provide users with better search results. This principle is applied to the shopping experience by Retail Search.
Even from broad queries, Google’s state-of-the-art artificial intelligence gives Retail Search advanced query understanding, resulting in better product search results and recommendations.
Increasing Customer Satisfaction
Retail Search is a fully managed and customizable search solution that allows businesses to create shopper-focused search experiences. It aims to make product discovery easier for shoppers while also optimizing business goals for retailers, based on the search engine’s indexing, retrieval, and ranking.
Merchants can fine-tune what customers see by using business rules to diversify product displays, filter by availability, and add custom tags as needed. This enables them to achieve their objectives in terms of engagement, revenue, and conversions.
The following are some of the capabilities:
- Advanced Query Understanding – Better results come from a better understanding of what searchers want.
- Semantic Search – Product attributes are effectively matched with website content, resulting in quick, relevant product discovery.
- Optimized Results – To achieve specific business objectives, results rely on user interaction and ranking models.
- Advanced Security and Privacy – Retailer data is protected by strong access controls, which ensure that it is only used to deliver relevant search results on their own properties.
Retail Search Has Been Added to the Product Discovery Suite
Retail Search is the newest tool in Google Cloud’s Product Discovery Solutions, a suite of tools aimed at improving retail operational efficiency, streamlining digital shopping experiences, and addressing changing consumer preferences.
It’s the result of Google’s internal media teams’ ongoing retail market analysis and commitment to innovation, as they look for new ways to help businesses maximize outcomes in a changing digital landscape.
Vision Product Search, which uses machine learning-powered object recognition and lookup to provide similar or complementary items from product catalogs, and Recommendations AI, which delivers relevant product recommendations to drive engagement across channels, are among the current Google Cloud offerings.
The entire suite features a graphical interface that allows eCommerce property owners to integrate data, manage models, and track performance. It works with Google Analytics 360, Tag Manager, and BigQuery, among other tools.
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