Product Impact and Compliance Data You Get from Pickler

A practical overview of the product-level fields Pickler provides, from carbon footprint and eco-costs to ESRS, data quality and PPWR-oriented compliance attributes.

TL;DR

Pickler gives you a structured dataset per product: identification data, carbon footprint, eco-costs, ESRS E1–E5 indicators, lifecycle-stage impacts, data quality fields and compliance attributes such as recyclability, recycled content, biobased content, plastic content, plastic-free status and certified wood. This helps teams answer customer questions, compare products, prepare reporting and manage PPWR/DPP data in one place.

What you need to know

Why it matters

Product impact data becomes valuable when it can be used beyond one calculation. A structured dataset per product makes carbon footprints, eco-costs, ESRS indicators, lifecycle-stage results, data quality and compliance attributes easier to compare, export and explain.

 

This matters for customer communication, tender responses, reporting preparation and product improvement. Teams can see not only what the footprint is, but also why it is high, which data supports it and what additional PPWR or DPP information may be needed.

How Pickler uses this

Pickler calculates and structures product-level impact data across carbon footprint, eco-costs, ESRS E1–E5 indicators and lifecycle stages such as materials, production, transport and end-of-life. It also tracks data quality through primary, secondary and default data fields.

 

Alongside calculated footprint outputs, Pickler helps structure compliance-related product data such as recyclability, reuse, minimisation, compostability, recycled content, biobased content, plastic content, plastic-free status and certified wood. These fields help connect product records to claims, customer evidence and PPWR/DPP preparation.

Why it matters for you

Customers get one practical dataset they can use across sustainability, sales, procurement and reporting workflows. Instead of recalculating or explaining product impact manually each time, teams can export consistent data per product and use it for customer answers, comparisons, dashboards and tenders.

 

This improves speed and credibility. Teams can identify hotspots, explain data quality, prioritise supplier data requests and collect PPWR-oriented attributes before they become urgent. It also helps commercial teams turn sustainability data into clearer product conversations.

What data you get from Pickler and how it helps

 

Pickler gives companies more than a carbon footprint number. It provides a structured product-level dataset that can be used in sustainability reporting, customer communication, tenders, commercial comparisons, internal dashboards and Digital Product Passport preparation. The value is that the data is organised per product, so teams can move from manual explanation to repeatable, portfolio-wide use.

 

The output starts with product identification and environmental impact results. Pickler provides fields such as product name, ID, status, category, supplier, weight, product link and embedded product impact views. It then adds total carbon footprint, total eco-costs, eco score, ESRS-aligned eco-cost indicators, lifecycle-stage impacts and data quality information. For companies handling many products, this creates one consistent structure for analysing and sharing product impact data.

 

The overview below groups the most useful data fields by business purpose. Some fields are calculated by Pickler’s footprint model. Others are entered or maintained by the customer, especially where compliance, declarations or supplier evidence are involved. That distinction is important: calculated impact data helps quantify environmental performance, while compliance fields help structure claims, PPWR preparation and customer evidence.

 

Data groupExample fieldsHow this helpsProduct identificationName, ID, status, category, supplier, creator, weight in grams, product link, product iframeKeeps every result traceable to a specific product record, so footprint data can be exported, embedded, reviewed and connected to commercial or reporting workflows.Total impact per productEco Score, eco-cost currency, total eco-cost per product, total eco-cost per kg, total carbon footprint per product, total carbon footprint per kgGives teams a clear overall view of environmental impact, useful for product pages, customer questions, internal comparisons and portfolio prioritisation.Sales and portfolio impactCarbon footprint linked to sales volumes, eco-cost linked to sales volumes, portfolio-level totals and product-level contributionShows which products matter most commercially and environmentally, helping teams prioritise improvements based on actual business relevance rather than impact per unit alone.ESRS environmental indicatorsESRS E1 climate change, ESRS E2 pollution, ESRS E3 water and marine resources, ESRS E4 biodiversity and ecosystems, ESRS E5 resource use and circular economyConnects product-level impact data to the environmental topics used in CSRD and ESRS preparation, without pretending that product data alone replaces corporate reporting.Lifecycle-stage impactMaterial eco-cost and carbon footprint, production eco-cost and carbon footprint, transport eco-cost and carbon footprint, end-of-life eco-cost and carbon footprintMakes hotspots visible. Teams can see whether impact mainly comes from materials, production, logistics or end-of-life, and then focus product improvements where they are most likely to matter.Data quality and gapsPrimary data quality, secondary data quality, default data quality, percentages per data type, default fields, data gaps percentage, data gap fieldsHelps teams understand how reliable each result is, explain assumptions and improve the products where better supplier or operational data will create the most value.PPWR circularity fieldsRecyclability grade, monomaterial status, assessment method, reusable status, designed reuse cycles, minimisation status, compostability status, disposal instructionsStructures circularity and end-of-life information that buyers, regulators and Digital Product Passport workflows increasingly require.PPWR content and substances fieldsCertified wood, biobased content, plastic content, recycled content, plastic free, substances of concern, PFAS, heavy metals, certificate or standard, proof typeHelps teams document material composition and claim-related attributes consistently, so claims can be linked to evidence.Evidence and passport readinessDeclaration of Conformity availability, supplier declaration, test report, evidence type, passport link, passport version, last update dateCreates a better evidence trail for tenders, customer requests, audit preparation and future Digital Product Passport publication.

 

This structure is useful because different teams need different views of the same product. A sustainability manager may focus on carbon footprint, eco-costs, ESRS indicators and data quality. A commercial team may need the eco score, total footprint per product and a short explanation for a buyer. A procurement team may use data gaps and supplier fields to request better information. A compliance or product team may need recycled content, plastic content, certified wood or recyclability information to prepare for PPWR and DPP requirements.

 

The lifecycle-stage fields are especially useful for improvement work. A product with a high material footprint may need a material substitution, recycled content improvement or weight reduction. A product with high transport impact may need a different sourcing location or transport mode. A product with high end-of-life impact may need better recyclability, clearer disposal instructions or a redesign that reduces mixed-material complexity. By separating impact by stage, Pickler makes the results actionable instead of only descriptive.

 

The ESRS fields add another layer of usefulness. Pickler maps impact into environmental topics such as climate change, pollution, water, biodiversity and circular economy. That helps companies connect product-level results to the language used in sustainability reporting. It does not mean that Pickler files a CSRD report or determines corporate materiality. It means product impact data can be structured in a way that is more useful for reporting preparation, internal dashboards and customer Scope 3 conversations.

 

For PPWR, the most useful fields are the ones that turn product and material attributes into clear evidence categories. Recyclability grade, assessment method, monomaterial status, minimisation measures, reuse cycles, compostability proof and disposal instructions help describe circularity performance. Recycled content, biobased content, certified wood, plastic content, plastic free status and substances of concern help describe material composition and claim support. These fields should be kept per product and, where relevant, per component, because many compliance questions depend on the exact material or part being assessed.

 

The practical benefit is that companies no longer need to manage product impact, data quality and compliance evidence in disconnected spreadsheets. Pickler gives the dataset a repeatable structure. This makes it easier to export information, connect it to other tools, answer tenders, prepare product comparisons and communicate footprint results in a way that is clearer and more consistent. It also makes data improvement more manageable: teams can see which fields are missing, which assumptions were used and which products deserve attention first.

Not every field has the same status. Carbon footprint, eco-costs and lifecycle-stage results are calculated by Pickler’s model, while compliance fields such as certificates, plastic-free claims, recycled content evidence or certified wood declarations depend on customer and supplier input.

 

Pickler helps structure and calculate the data, but it does not replace legal review, supplier verification or product certification. PPWR and DPP fields should be supported by accurate evidence and kept up to date.

Use product impact data across sales, reporting and compliance

 

Pickler’s output data is valuable because it turns product footprint calculations into a structured dataset that teams can actually use. Instead of receiving one isolated footprint number, companies get product identifiers, carbon footprint data, eco-costs, ESRS indicators, lifecycle-stage results, data quality fields and PPWR-oriented compliance attributes. This makes the data easier to share, compare and improve across a product portfolio.

 

  • Faster customer answers: sales and sustainability teams can respond with consistent product-level data instead of rebuilding calculations manually.
  • Better portfolio decisions: carbon, eco-cost and lifecycle-stage fields show which products or materials drive the biggest impact.
  • Reporting preparation: ESRS E1–E5 indicators and data quality fields make product impact data easier to connect to internal reporting workflows.
  • Stronger compliance readiness: PPWR-oriented fields such as recycled content, biobased content, plastic content and recyclability help teams collect the evidence buyers increasingly ask for.

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