In order to give customers a more seamless online shopping experience and help merchants manage their in-store inventories, Google Cloud is releasing four new and upgraded AI capabilities.
e-commerce sites with a customized search and browsing experience.
a tool that uses artificial intelligence to scan store shelves.
a system that recommends products using AI.
a program that groups products on websites according to machine learning.
Here is further information about each new tool.
Search & Browsing Customized For Ecommerce Sites
An AI-based tool from Google Cloud has been released that allows users to customize the results they get when searching and browsing an e-commerce website.
The innovation expands the capabilities of Google Cloud’s current Retail Search offering, making online shopping easier and more seamless.
This new tool’s AI engine can recognize customer preferences by examining their activity, such as the goods they browse, add to their basket, and buy.
In order to provide a more individualized experience, it uses this data to modify the search results and prioritize products. The customization is unique to the retailer’s website and is unrelated to the user’s Google activity.
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Product Sorting Using AI on Ecommerce Websites
To enhance the browsing and product discovery experiences on eCommerce websites, Google Cloud is releasing a new AI-powered tool.
When customers choose a category, this feature uses machine learning to optimize product orders on a retailer’s website.
Traditionally, product results on e-commerce sites have been categorized based on either category bestseller lists or manually curated collections, such as choosing which clothing to highlight based on the season.
The Google-developed AI-driven technology employs a novel approach, enhancing product sorting with the aid of historical data. This may improve accuracy, relevance, and sales opportunities.
The Google Cloud Discovery AI solutions for merchants now include this feature.
Product recommendations powered by AI
Upgrades to the Recommendations for Google Cloud E-commerce websites may become even more dynamic, tailored, and beneficial for specific customers with the help of AI.
Page-level optimization, one of the new features, enables the website to decide which product recommendations to dynamically provide to a customer.
Increased user engagement and sales may result from doing away with time-consuming user experience testing.
Additionally, a fresh function for revenue optimization makes better product recommendations using machine learning, which can raise revenue per user session.
In order to establish the best ratio between customer satisfaction and revenue growth on an e-commerce site, a machine learning model developed in conjunction with DeepMind takes into account product categories, item prices, and user behavior.
Finally, a new “buy it again” model uses a customer’s prior purchases to recommend additional purchases in the future.
All shops using Google Cloud can now access these new tools.
Shelf Checking Powered By AI For Retail Stores
While retailers have long used a variety of shelf-checking technologies, their performance has been limited by the resources required to create AI models that can discriminate between and categorize products.
In order to assist shops in identifying products of all types at scale based only on visual and text attributes, Google Cloud has released an AI solution for checking shelves.
The technology converts the data into useful insights that can be used to expand visibility into the present inventory, improve product availability, and pinpoint areas that need restocking.
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Though it is still in preview, this technology will soon be available to shops everywhere. The AI can only be used to recognize products and price tags, according to Google, which also points out that a retailer’s data and photographs are still their property.
