Zoovu Unveils Generative AI Solution to Provide Personalized Buying Experiences
Zoovu, an artificial intelligence (AI)-powered product discovery and eCommerce experience platform, has unveiled a generative AI solution designed to revolutionize the way consumers discover and purchase products.
The new Advisor Studio aims to provide personalized and interactive buying experiences while driving greater revenue for brands, the company said in a Wednesday (Dec. 6) press release.
It does so by addressing customer frustration and choice overload in online shopping, according to the release.
“Brands have always struggled to replicate the in-store, consultative shopping experience online and help customers quickly discover the products that will best meet their needs,” Jonathan Taylor, chief technology officer at Zoovu, said in the release. “By embedding generative AI into our platform, we are solving this issue by changing how brands engage customers online, intelligently connecting them with the right products for a better customer experience.”
Advisor Studio combines generative AI and large language models (LLMs) with enriched product data and zero-party data from guided selling assistants, the release said.
This allows for the personalization of the buyer journey, providing customers with tailored recommendations based on their needs and preferences, per the release. Additionally, each product detail page is customized to the buyer.
One of the standout features of Advisor Studio is the inclusion of an AI-enabled assistant named ZOE, which can answer customer questions about the product, according to the press release. This feature aims to ensure that customers can quickly find the products that best meet their needs.
Currently being piloted by select Zoovu customers, Advisor Studio is set to have limited availability in the first quarter of 2024, with general availability launching later in the year, the release said.
The Advisor Studio joins Zoovu’s existing AI-powered product discovery platform that helps eCommerce businesses sell more, increase customer satisfaction, cut operational costs and leverage insights into customer behavior, per the release.
In another recent development in this space, Constructor said in July that it has added a new solution to optimize product discovery and search result relevance on its platform for enterprise eCommerce companies.
Constructor’s Attribute Enrichment solution combines raw product catalog data with buyers’ behavioral data to correct and auto-enrich product attributes.
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