#RICE24 Solution Spotlight: Zoovu Helps Clean, Standardize and Optimize Product Data

Zoovu is designed to provide a single, scalable platform designed to help merchants support end-to-end product discovery.
Photo credit: Zoovu

 To optimize brand and product discovery across all channels, brands have to optimize their product data. However, many merchants struggle to create, manage and update this data effectively, while integrating it with relevant customer insights. Zoovu is designed to provide a single, scalable platform designed to help merchants support end-to-end product discovery and create content experiences across all channels and even languages.  
With Zoovu, merchants can use AI to collect, clean, standardize, enrich and maintain product data across brands and categories with minimal manual effort. This data can be applied to all sales and engagement channels, creating consistency and building customer trust, reducing returns and increasing customer loyalty. Additionally, by enriching product data with customer-centric attributes, retailers can create experiences designed to help customers find the right products faster — and easier.  

Putting Customers at the Center of Product Discovery 

Because Zoovu is designed to make product data as discoverable as possible, brands can use it to launch personalized shopping experiences that provide the best recommendations, bundles, search results and product descriptions.  
By collecting zero-party insights from millions of shopper interactions — including customers’ needs, preferences, lifestyles, and what drove them to buy or not buy — merchants can then acquire a better understanding of the customer journey and behavior, so they can adapt, improve and optimize the ecommerce experience.  
Retail Innovation Conference & Expo attendees can stop by the Zoovu booth #525 to learn more about how they can optimize their product data to elevate the ecommerce shopping experience. Visit the official #RICE24 hub to get more details on what to expect at this year’s show. 


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