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Product Data Sourcing

Data management and qualityIntermediate Level

Product data sourcing is collecting product information from your ERP, suppliers, manufacturers and other sources and bringing it into one place, such as a PIM.

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What is Product Data Sourcing?

Product data sourcing is finding and collecting product information from every source that has it, such as your ERP, supplier files, manufacturer websites and data pools, and bringing it into one place. In short, data sourcing answers where each product fact comes from. Most catalogs combine several sources. The ERP usually holds SKUs, prices and stock. Suppliers send specifications, images and descriptions in spreadsheets or feeds. Manufacturer sites and industry data pools fill gaps. Sourcing is the first step; data integration and enrichment follow. Sourcing decides which source wins for each field, integration maps the fields and enrichment adds what is still missing. A PIM collects these sources so the ERP stays the master for commercial data and the PIM for marketing content. The product import feature shows how files and URLs are brought in.

Why Product Data Sourcing matters for e-commerce

Every gap in a product page goes back to sourcing. If nobody knows where the material or the dimensions should come from, the field stays empty or gets filled differently each time. Syndigo's 2025 State of Product Experience report found that 44% of shoppers abandoned a purchase due to insufficient product information. Clear sourcing rules prevent that at the start: each field has a leading source, suppliers know what to deliver and conflicts between ERP and supplier data are settled by rule instead of by whoever edited last.

Examples of Product Data Sourcing

  • 1Source: ERP, Fields: SKU, price, stock, Role: Leading for commercial data
  • 2Source: Supplier spreadsheet, Fields: Dimensions, material, images, Role: Imported weekly and mapped to your attributes
  • 3Source: Manufacturer website, Fields: Technical specifications, manuals, Role: Fills gaps the supplier file leaves
  • 4Source: Industry data pool, Fields: GTIN, ETIM class, Role: Standard identifiers and classifications
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How WISEPIM Helps

  • Product import: bring in CSV files and product URLs, and map columns to your attributes.
  • Scheduled imports: automations run imports hourly, daily, weekly or monthly, so supplier files arrive in a fixed rhythm.
  • Connections: import from shop platforms such as BigCommerce and Shopware, or from Akeneo.
  • Web research: fill missing specifications with web research and AI enrichment, then review the result.
  • Rollback Import: undo an import that brought in the wrong data.

Common mistakes with Product Data Sourcing

  • Not deciding which source is leading for each field, so values flip back and forth.
  • Accepting supplier files in any format and fixing them by hand every time.
  • Copying descriptions from manufacturer sites without checking rights or accuracy.
  • Overwriting enriched content with a new supplier import.
  • Keeping marketing content in the ERP, where it is hard to edit per channel.

Tips for Product Data Sourcing

  • Make a source map: one row per field, with its leading source and fallback.
  • Give suppliers a template with required fields, units and value lists.
  • Import on a schedule instead of on request.
  • Protect enriched fields from being overwritten by imports.
  • Check every new supplier file against your rules before it reaches a channel.

Trends around Product Data Sourcing

  • AI that extracts specifications from supplier PDFs and websites.
  • Industry data pools and standards such as ETIM and GS1.
  • Digital product passports that require sourced compliance data.
  • Direct API connections replacing emailed spreadsheets.

Tools for Product Data Sourcing

  • WISEPIM: PIM with CSV and URL import, scheduled imports and web research.
  • Akeneo PIM: PIM for collecting and standardizing product information.
  • Salsify: product experience platform with PIM and DAM features.
  • Celigo integrator.io: integration platform that connects ERP, PIM and shops.
  • Alteryx: data preparation and blending for large data sets.

Related Terms

Access Control (PIM)Attribute Dependency ManagementAttribute InheritanceAttribute ManagementAttribute mappingAttribute Scoping

Also Known As

Data sourcingProduct data acquisitionProduct information intake

Frequently Asked Questions

Data sourcing is identifying where data comes from and collecting it from those sources. For product data, that means the ERP, supplier files, manufacturer sites and data pools, plus a decision on which source is leading for each field.

Usually both, with different roles. The ERP is the master for SKUs, prices, stock and purchasing data. A PIM is the master for marketing content such as descriptions, attributes, images and channel versions, and takes the commercial fields from the ERP.

Agree on a template or feed format with each supplier, including required fields and units. Import the files on a schedule, map the supplier fields to your attributes and check the result before it reaches your channels.

Sourcing collects the data that already exists somewhere. Enrichment adds what is still missing or improves it, such as writing a description, filling attributes or translating content.

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