Why methodology compliance matters

Product footprint results need to be more than calculated numbers. They need to be comparable, traceable and explainable. That is especially important when the data is used for customer communication, product comparisons, reporting preparation or sustainability claims.

Pickler’s methodology is designed to create that trust layer. It connects product inputs to lifecycle impact results through a repeatable Fast-Track LCA method, documented calculation rules and secondary lifecycle data.

1. Verified Fast-Track LCA methodology

• Pickler uses a single Fast-Track LCA methodology rather than ad-hoc product-by-product modelling.
• The method is designed to focus on the lifecycle parameters that drive product impact.
• The same calculation logic can be applied across products, alternatives and portfolio workflows.
• This makes results easier to compare and explain than isolated spreadsheet calculations.

Trust point: the value is not only the footprint result itself, but the repeatable methodology behind it.

2. IDEMAT secondary lifecycle data

• Pickler uses IDEMAT background data to connect product inputs to environmental impact.
• This helps teams calculate impact when supplier-specific lifecycle data is not yet available.
• Secondary data gives companies a practical starting point without waiting for perfect primary data.
• Data quality can then improve over time as better product or supplier information becomes available.

Trust point: footprint work can start with a documented secondary data source instead of hidden assumptions.

3. ISO-aligned calculation logic

• Pickler’s LCA-based approach follows recognised lifecycle assessment principles.
• Calculation rules are designed to support consistency across materials, lifecycle stages and product categories.
• Eco-costs add a broader environmental indicator beyond carbon alone.
• Carbon footprint, eco-costs and eco-score can be used together to explain product impact more clearly.

Trust point: the methodology gives teams a more defensible basis for explaining impact results.

4. Transparent assumptions and defaults

• Every product footprint involves choices about data, scope, defaults and assumptions.
• Pickler helps make these choices more structured and easier to explain.
• This reduces the risk of inconsistent internal calculations or unclear customer-facing claims.
• Teams can see where better data would improve the result.

Trust point: assumptions are not hidden in disconnected spreadsheets; they become part of the explanation.

5. What this supports

• Customer explanations about product footprint results.
• Product comparisons and alternative assessments.
• Product passports and impact reports.
• Reporting preparation and product-level evidence workflows.
• Commercial communication where claims need clearer substantiation.

What Pickler does not replace

Pickler does not replace legal advice, product certification, supplier document verification, third-party assurance or formal regulatory reporting. The methodology helps structure and calculate product impact data, but companies remain responsible for the accuracy of input data, evidence, claims and disclosures.

This distinction is important. Pickler supports trustworthy product impact data. It does not remove the need for judgement, documentation or compliance review where required.