Portfolio-level footprint work becomes difficult when each product is calculated manually or with a different assumption set. Pickler helps create consistency by using structured product inputs, repeatable calculation logic and reusable impact outputs across many products.

This is useful for companies that need to compare products, prioritise improvements, answer customer questions or prepare product-level reporting data across an assortment. Better primary data can be added over time to improve result quality.

A company can calculate footprints for many products, identify high-impact categories and decide where better material, supplier or design choices may have the biggest effect.

Pickler helps teams move from isolated calculations to a maintained product impact data layer across a product portfolio.