A manufacturer’s online catalog is only as useful as the product information behind it. Buyers need to identify the right item, compare relevant options, and understand what to do next. Internal teams need a repeatable way to maintain that information as products change.
Start by listing the fields buyers actually need
For each product family, ask sales, customer service, and product experts what buyers need to confirm before requesting a quote or placing an order. Common fields may include model or part number, dimensions, materials, compatibility, certifications, installation documents, and product images. The right set varies by industry and application, so validate it with real customer questions.
Separate identifiers from descriptive attributes
Keep internal item numbers, manufacturer part numbers, and external identifiers in clearly named fields. If your products use Global Trade Item Numbers (GTINs), preserve them as identifiers and validate their assignment and format with the appropriate standards owner. GS1 describes GTINs as a way to uniquely identify trade items across supply chains. See GS1’s GTIN overview.
Choose a source of truth for every field
Product facts may live in an ERP, product information management system, spreadsheets, engineering documents, or a mix of systems. Create a field map that names the authoritative source, responsible owner, update process, and destination for each ecommerce attribute. This makes it easier to spot conflicting values before they reach a storefront.
Model variants and relationships deliberately
Document how options relate: size, finish, voltage, configuration, replacement item, or product family. Avoid using a single text description to carry multiple data points that customers need to filter or compare. Google’s product structured data documentation explains how Product and ProductGroup markup can represent products and variants for Search. Review Google’s product variant guidance.
Make quality checks part of the workflow
Define checks for required fields, valid units, duplicate identifiers, broken documents, image standards, and stale or discontinued products. Sample records from each product family and review them with someone who understands the product. A clean export is not enough if the information is inaccurate or hard for a buyer to interpret.
Publish accurate search information
Use page titles, headings, and product descriptions that reflect the product and its use. Where a page represents a product and meets Google’s requirements, relevant Product structured data can help Search understand details such as price and availability; eligibility does not guarantee a rich result. Follow Google’s official Product structured data guidance and validate markup before launch.
A practical first-week cleanup
Choose one high-value product family. Export its current catalog fields, collect the documents buyers use, identify the field owners, and fix the most visible gaps. Then test whether a customer can identify the right product using the information now available. Use what you learn to set standards for the next family.
Plan the catalog alongside the platform
Catalog structure affects navigation, search, filtering, integrations, and ongoing maintenance. Include product data ownership in ecommerce discovery before committing to a platform or migration plan. Mecoma helps manufacturers and distributors with solutions consulting, B2B ecommerce, and ecommerce replatforming. Talk with Mecoma about your catalog priorities.