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Circular Economy Data Model

Data managementIntermediate Level

A circular economy data model structures product data on materials, repair, disassembly and recycling so products and materials can stay in use longer.

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What is Circular Economy Data Model?

A circular economy data model is a structure for product information that records what a product is made of, how to repair it, how to take it apart and how to recycle it, so the product and its materials stay in use longer. Where a standard product data model stops at the sale (SKU, price, stock, marketing content), a circular model adds lifecycle attributes: material composition, recycled content, spare parts, repair instructions, disassembly steps and end-of-life options. That data feeds sustainability claims, resale and repair services, and the Digital Product Passport that the EU introduces under the Ecodesign for Sustainable Products Regulation (ESPR). Tools range from life cycle assessment software to a PIM where you store these fields as structured attributes.

Why Circular Economy Data Model matters for e-commerce

A circular economy data model matters for online sellers for three reasons. First, EU rules such as the ESPR ask for structured sustainability information, and the Digital Product Passport will make that data part of selling in Europe for more and more product groups. Second, shoppers ask about materials, repair and recycling, and vague claims invite greenwashing complaints. Third, resale, repair and take-back services only work when you know what each product contains. The model also helps with returns. When a product comes back, structured material and disassembly data tells your team whether to resell, repair or recycle it. Keeping these attributes in the same place as your regular product data means sustainability claims on product pages come from documented facts.

Examples of Circular Economy Data Model

  • 1Attribute: Material composition, Value: Recycled polyester shell, organic cotton lining, Product: Rain jacket
  • 2Attribute: Repairability, Value: Spare battery and screen available, repair guide linked, Product: Smartphone
  • 3Attribute: Disassembly, Value: Screwed joints, no glue, parts separable by material, Product: Office chair
  • 4Attribute: Material origin, Value: Supplier and country of origin for cobalt and lithium, Product: E-bike battery

How WISEPIM Helps

  • Custom attributes: You add fields for materials, recycled content, repair and disassembly to your products and product families, next to the regular product data.
  • Quality Guard rules: Rules flag products where required sustainability fields are still empty.
  • Supplier data import: You bring material data from supplier CSV files into the same product records, also on a schedule through automations.
  • Sharing with partners: Export and Brand Portals let you share the same structured data with retailers, repairers or recyclers.

Common mistakes with Circular Economy Data Model

  • Storing sustainability data as unstructured text, so systems cannot filter it or build reports from it.
  • Ignoring what recyclers and repair shops need to fix or reuse a product.
  • Not linking material data to production batches, which makes material history impossible to trace.
  • Treating the circular model as a one-time project while rules and data needs keep changing.

Tips for Circular Economy Data Model

  • Use international standards like GS1 for identifiers and data exchange, so partners in the supply chain can read your data.
  • Start with the product groups that face rules first or carry the most impact.
  • Agree on a fixed template with suppliers for material data, so imports land in the right attributes.
  • Record units and sources with every value, such as weight in grams and the certificate a claim is based on.

Trends around Circular Economy Data Model

  • Digital Product Passports rolled out by the EU product group by product group, with batteries among the first.
  • AI that estimates a product's carbon footprint from the material data a company already holds.
  • QR codes on products and packaging that link to repair, material and recycling information.
  • More resale and repair programs run by brands, which need item-level condition and repair data.

Tools for Circular Economy Data Model

  • WISEPIM for storing circular attributes next to the rest of your product data.
  • SimaPro or GaBi for detailed life cycle assessment (LCA) calculations.
  • GS1 standards for exchanging product data across the supply chain.
  • Akeneo or Salsify for broader product experience management.

Related Terms

Also Known As

Circular product data modelSustainability data frameworkLifecycle data modelDigital Product Passport data model

Frequently Asked Questions

Life cycle assessment software such as SimaPro calculates environmental impact from material data. GS1 standards help you exchange product data with suppliers and partners. A PIM system stores the circular attributes next to the regular product data and sends them to your channels.

A linear model tracks a product from production to sale, with SKU details, price and stock, and the data trail ends at checkout. A circular model also covers what happens after the sale: maintenance, repair, disassembly and material recovery. That lets you manage a product through several owners and recycling rather than one transaction.

Common attributes are material composition, recycled content, substances of concern, repairability information, spare part availability, disassembly instructions and end-of-life options. For apparel, fiber composition and care instructions matter for resale. Store each one as a structured field, not as free text.

The Digital Product Passport is a digital record per product that the EU is introducing product group by product group, through the ESPR and the Battery Regulation. It asks for the same structured data a circular model holds, such as materials, substances and repair and recycling information. If you already store that data as attributes, filling a passport later is mostly a mapping task.

Yes. A circular model can record the condition and repair history of individual units instead of treating every item of one SKU as identical. That detail helps you price and describe refurbished goods honestly.

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