Export product impact data for internal reporting
Export calculated product footprint results to Excel or BI tools for reporting, analysis and customer-ready data.
Export calculated product footprint results to Excel or BI tools for reporting, analysis and customer-ready data.
Pickler’s impact data export lets you download calculated product footprint results as an Excel file. It is designed for teams that want to use Pickler data outside the platform, for example in Excel models, internal dashboards, customer reporting, Power BI, Tableau, Looker or other reporting tools.
The export gives you a structured snapshot of the impact results for the products you select. This means you can combine product-level environmental data with your own business data, such as sales volumes, revenue, customers, product groups, suppliers, countries or regions.
The export includes product metadata and key impact indicators such as total carbon footprint, total eco-costs, eco-score, results per product and per kg, and lifecycle-stage results for materials, production, transport and end of life. It also includes ESRS E1–E5 aligned eco-cost fields and data quality indicators, including primary data, secondary data, default fields and data gaps.
Teams can use the export to create yearly customer impact reports, analyse emissions across a product portfolio, compare product groups, support CSRD-related reporting inputs, identify footprint hotspots and build internal dashboards. It is especially useful when sustainability data needs to be combined with commercial or operational data already managed in other systems.
An Excel export is a snapshot of the calculations at one moment in time. That is useful for reporting periods and internal analysis, but it should be managed carefully when used for public claims. Product data, material weights or underlying background data can change. For public channels, teams should include transparency links, product passports or embedded live impact data where possible. For continuous reporting flows, the Pickler API is a better fit than manual exports.
The impact data export can support internal sustainability dashboards, Excel analysis, customer impact reporting, CSRD-related inputs, portfolio analysis, sales-volume impact calculations, supplier or product category reporting and product-level decision-making.
It gives teams the data layer they need to move from individual footprint calculations to portfolio-level reporting and analysis.
Yes. Pickler supports impact data export so teams can reuse product-level results in reporting, customer communication and internal analysis.
Read full answerYes. Pickler can support CSRD reporting preparation by providing structured product-level impact data, but it does not replace a full CSRD reporting system or legal review.
Read full answerReporting data is often aggregated for internal or regulatory use. Customer-proof data needs to be product-specific, explainable and easy to share in a commercial context.
Read full answerMost companies already have enough data to start. You can start with basic product data such as materials, weights, and formats. Pickler is designed to work with incomplete datasets, so you don’t need everything upfront.
Read full answerStart with product identifiers, materials, weights and key product structure. More detailed data can improve results later, but the first step is consistent product records.
Read full answerPickler provides product-level impact data such as carbon footprint, eco-costs, eco-score, lifecycle breakdowns and supporting compliance or passport fields where relevant.
Read full answerYes. Pickler is designed for repeatable product-level impact calculations across portfolios, not only for one-off product studies.
Read full answerStart with the product data you already have, calculate a first structured baseline and improve data quality over time. The baseline should be useful, not perfect.
Read full answerGive a product-specific answer instead of a generic sustainability statement. Use the product footprint, explain the scope and share the underlying proof where needed.
Read full answerEasily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.