Sales Layer is a Product Information Management (PIM) platform. In plain terms, it’s the place where you store, organize, enrich, and publish product information so it stays consistent across every channel where you sell or share products. Instead of updating product data across spreadsheets, emails, shared drives, and marketplaces, you work from one central source of truth and then share that information with the teams and channels that need it.

What you manage in Sales Layer

In Sales Layer, you can centralize and maintain things like:

• Product basics: names, descriptions, SKUs, internal codes, dimensions, materials, features, and more

• Media: images, PDFs, videos, certificates, and other files

• Structure and classification: categories, attribute sets, attributes, and variants (for example size and color)

• Multilingual content: product information in multiple languages from the same workspace

• Enrichment and quality: fill in missing fields, standardize formats, and keep data complete and consistent

Sales Layer helps you:

• Create and enrich catalog content faster, especially when many people contribute

• Reduce errors and inconsistencies by keeping data structured and controlled

• Coordinate across teams like marketing, product, e-commerce, sales, and distributors

• Speed up launches by having product data ready earlier and in the right format

• Reuse content across channels without rewriting everything every time

A common workflow looks like this:

1. Collect product information (from ERP systems, suppliers, spreadsheets, and internal teams).

2. Organize it using categories, attribute sets, and variants.

3. Enrich and validate content (descriptions, media, translations, required fields, and completeness checks).

4. Export or publish the data to where you need it, like an e-commerce platform, marketplace, partner feed, printed catalog, or internal sales sheet.

Who uses Sales Layer

Depending on the company, you’ll often see:

• Marketing and content teams writing and translating product content

• Product teams maintaining technical specs

• E-commerce teams preparing data for online shops and marketplaces

• Sales teams accessing the most up-to-date product information