Enrich Product Data for Optimized Sales Channel Performance

Problem

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.

Solution

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.

Key capabilities

• Configure attributes globally, by category, or by individual product.
• Attribute formulas that auto-generate values like product names, weights, and sizes.
• Update multiple products in bulk with CSV imports.
• Tailor product descriptions for SEO, channel standards, and brand voice with Product Catalog AI.

Example Scenario

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.
• Bulk tools streamline mass edits and updates.

Outcome

• Higher data accuracy: Fewer errors across channels.
• Reduced manual work: Bulk and AI tools speed up enrichment.
• Improved conversion: Optimized listings drive better customer engagement.
• Lower return rates: Accurate, tailored content reduces buyer confusion.