Dyver removes pain, friction, and delays from the product data preparation process.

Get a competitive edge by allowing quick adaptation of your catalog to sell through multiple channels.

Leveraging multiple channels enables businesses to grow, adapt, and thrive in a dynamic market environment. However, each channel has its unique requirements, category trees, and catalog taxonomies, posing significant challenges for product data preparation.

A channel may require specific wording in product names, a fixed set of colors, conversion to different size formats, or prices in various currencies.

Use Dyver’s cost-effective solution to transform your product data to meet the specific requirements of each channel.

Receiving inconsistent data from various suppliers is a significant challenge for merchants.

Dyver’s AI‑powered Data Enrichment Platform solves this challenge by turning fragmented, messy feeds into clean, consistent product catalogs. Its AI automatically recognizes fields and their meanings, connects related data, and fills in gaps with accurate details. SKUs, categories, and attributes are aligned with your site’s standards, while text and image analysis enrich every product with complete, high‑quality information.

Each brand has a voice and a purpose. A generic AI cannot satisfy unique product data requirements for a complex business.

Leverage Dyver’s proprietary technology to create AI-based product enrichment customized for your industry, brand, and channels. For each catalog in Dyver, customers can define product types and attributes, specify product name and description formats, set SKU number conventions, convert images, and apply country-specific size models and color schemes, among many other preferences.

Our platform leverages these custom requirements to create product information that uniquely fits each channel and brand, ensuring your product data is continually optimized for maximum impact.

Go beyond image tagging and rewriting descriptions and take a comprehensive approach to product data to increase sales.

Product information comprises multiple components, each crucial for educating and attracting customers to your products, as well as helping them locate products on the web and your website. 

Dyver leverages the power of AI to enrich all aspects of product data (Title, Description, Attributes, Variants, Images, Categories, Supporting documents, Customer reviews) to create rich and consistent product information.

All components of product information should work in unison and consistently communicate your brand values and information about your products to customers.

Dyver uses highly configurable workflows to create a custom product data transformation process for each customer and channel.

These workflows are built from “Magic Steps” that itemize products and their variants from incoming feeds, extract product data from images and CSV files, resolve conflicts, map raw data into required attributes, assign categories, improve images, rewrite descriptions, and titles.

Each step can be fine-tuned for optimal results, and additional steps can be added to meet specific customer requirements.