As a retailer, you may be enriching product data manually by copying and pasting between systems, reformatting content, and relying on team-specific processes. This results in inconsistent listings, slower time-to-market, and higher error rates across sales channels.Common limitations include:
No standardized validation of required fields.
Manual processes prone to human error.
Lack of a centralized system for enrichment across teams.
Difficulty optimizing product content for different sales channels.
With fabric Product Catalog, you can enrich product data with precision and scale. Using structured schemas, validations, formulas, and AI-powered content, you can ensure every product is channel-ready before publishing.
A home goods retailer sells through three channels: a branded ecommerce site, Amazon, and regional marketplaces in North America. Each channel has unique requirements:
Amazon: Structured specs with character limits.
DTC site: SEO-optimized, brand-aligned copy.
Marketplaces: Localized content and unit conversions.
Previously, the team managed product content through spreadsheets, resulting in frequent listing rejections, inconsistent messaging, and long lead times.With fabric Product Catalog:
A global data structure supports both universal and channel-specific attributes.
Calculations populate attributes, such as volume or weight.
AI tools generate channel-specific descriptions.
Validations ensure required fields are completed before publishing.