Dyver

Preparing product information is one of the most complex operational challenges in eCommerce. Product data often comes from multiple suppliers, spreadsheets, ERP systems, and catalogs, making it difficult to organize attributes, enrich product information, and prepare everything for import into an eCommerce platform. These messy workflows can slow down catalog expansion and require significant manual effort.

Dyver solves this problem through AI-powered automation designed specifically for product data workflows. The platform generates, structures, and enriches product data at scale, helping businesses prepare thousands of products faster and with consistent quality.

Using Dyver, teams can automate key steps in product catalog preparation, including:

•⁠  ⁠sourcing product data from multiple inputs
•⁠  ⁠structuring product attributes
•⁠  ⁠generating product descriptions
•⁠  ⁠enriching product information
•⁠  ⁠organizing catalog data for import into eCommerce platforms

By automating product data preparation, Dyver enables retailers, brands, distributors, and marketplaces to scale their catalogs faster while reducing the operational burden of manual product documentation.

The platform can retrieve and process product information from supplier feeds, ERP systems, spreadsheets, and databases, then structure and enrich the data before exporting it in formats such as XML, JSON, CSV, or XLSX. Dyver can also integrate with existing eCommerce platforms and workflows.

With Dyver, eCommerce teams can move from messy product data to structured, enriched catalogs more efficiently, enabling faster launches, easier catalog scaling, and better product experiences for customers.