With its most recent updates on Google Cloud, Google has brought personalized search capabilities to e-commerce websites.
Google Cloud is launching four new and modern AI tools that will give customers a more seamless online shopping experience and help retailers manage their inventory in-store.
This article will provide more details about each of the latest tools.
Personalized Search and Browsing for Ecommerce Websites
Google Cloud has introduced an AI-powered tool that customizes the content that customers see when they browse and search the e-commerce site.
The technology increases features of Google Cloud’s Retail Search solution, helping to provide a seamless and enjoyable shopping experience online.
The AI technology behind this latest tool can identify customer preferences by studying their behavior, including the products they look at or add to their carts and then purchase.
This information is used to alter search results and prioritize products to provide a more tailored experience. The personalized experience is unique to the retailer’s site and not linked to the customer’s activity on Google.
Artificial Intelligence-Based Sorting of Products Ecommerce Websites
Google Cloud is launching a new AI-powered tool specifically for eCommerce websites that will improve the browsing and discovery experience.
This feature employs machine learning to enhance the order of items on a retailer’s website when customers pick an item from a specific category.
Online stores have traditionally sorted merchandise results according to categories, bestseller lists or collections that are manually made that include deciding the clothes to highlight following the season.
The AI-driven algorithm developed by Google uses a different approach, utilizing previous data to improve how the products are classified. This improves relevancy, accuracy, and the likelihood of making a sale.
The tool is made available through Google Cloud’s Discovery AI solutions for retailers.
AI-Driven Recommendations for Products
Updates to Google Cloud’s Recommendations AI could make e-commerce websites more personalized, responsive and valuable for individual customers.
A brand new feature, page-level optimization, lets the site dynamically determine the best product recommendations to show to shoppers.
This could reduce the time needed for user experience tests and result in higher user engagement and sales engagement.
A new feature to optimize revenue uses machine learning to provide better product recommendations that are more efficient and increase the revenues per session.
The machine learning model developed in conjunction with DeepMind analyzes the price of items, categories of products as well as the behavior of users in an online store to find the optimal equilibrium between customer satisfaction and revenue growth.
In addition, a newly developed “buy this again” model utilizes the customer’s previous purchases to suggest future purchases.
The new tools are available to all retailers who use Google Cloud.
AI-Powered Shelf Checking for Retail Stores
The retail industry has been using different technology for checking shelves for a while. However, their progress could be improved because of the resources required to create AI models that distinguish and classify products.
Google Cloud has launched an AI solution for examining shelves to assist retailers in identifying items of all kinds in large quantities based solely on text and visual features.
The tool converts the information into useful information that will enhance product availability, provide visibility into the inventory, and pinpoint where replenishment is needed.
The technology trend is currently in the process of being tested, but it will be available to retailers across the world. Google says that retailers’ information and images are their sole property. AI is only used to identify items or price tags.