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What does the PEF Score (pts) represent?

The PEF Score is a single number, in points (pts), that summarizes the environmental impact of an article across all the PEF impact categories. The higher the score, the higher the impact. It is shown as PEF Aggregate Score in the Simulation Results panel and as PEF Score in the Data Overview, where you can sort by it.

How it is calculated

BCome follows the PEF 3.1 method. First, the article’s impact is calculated for each of the 16 PEF impact indicators. Then each result is normalized, which expresses it relative to a reference value, and weighted according to the official weighting set of the PEFCR Apparel & Footwear. The weighted results are added up into one score. The Impact Simulator uses the official normalization and weighting set of the PEFCR Apparel & Footwear. The calculation is cradle-to-gate, up to the warehouse.

What the score is, and is not

  • It is a relative measure. A score only means something when compared with another score calculated with the same method, for example two versions of the same article.
  • Points are not a unit of a physical quantity. Unlike kg CO2e, they cannot be related to a real-world emission, and they are not comparable with the scores of other tools or methods.
  • The score depends on the product weight. A heavier product category usually scores higher; compare articles of the same category and weight.
  • It is not an Eco-Score and not a label. Do not use the pts value as a claim in your communication.

Why a single score hides detail

A single score makes weighted impacts comparable, but it also hides which indicators drive the result. Open Detailed Impact Indicators in the Simulation Results panel to see the result per indicator, and read the Impact Breakdown bar to see which impact area dominates. It lists each indicator with its result and unit, grouped by impact area. For example, Global warming appears under Climate Change in kg CO2 eq, and Water scarcity under Water in m3 deprived.

Limits

The score is an estimate based on the data you declare and, where data is missing, on BCome assumptions. A simulation is useful to compare options before production. It does not replace the LCA of the real article once it is produced.