Customer stories

How Mammut turned product footprints into a comparable climate baseline.

Mammut needed LCAs that could represent complex outdoor products—from apparel and footwear to component-heavy hardgoods—and turn product data into credible reduction scenarios. The same evidence supported a transparent corporate rebaseline.

Mammut climber on a snow-covered mountain ridge
Company
Mammut
Industry
Outdoor apparel + equipment
Region
Switzerland
Work
Product LCA + GHG accounting
3.2k+
product SKUs assessed
17.6k
GHG activity records across three accounting periods
~60
factories contributing primary data
Tobias Steinegger

“Working with Carbon Trail has deepened our understanding of product impacts, enabling us to move beyond basic reporting and use these insights to inform strategic decision-making.”

Tobias SteineggerHead of Corporate Responsibility, Mammut

Complex outdoor products needed more than a generic LCA.

Mammut needed LCAs that understood how technical outdoor products are actually built, then used that product evidence to identify credible ways to reduce their impact.

A rope, carabiner, crash pad or technical garment can combine very different materials, components and processes. Some products had detailed bills of materials while others had only partial primary data. The same evidence also had to support Mammut’s corporate rebaseline.

Hardgoods complexityEquipment required component and process-level modelling that reflected how each outdoor product was constructed.
Partial primary dataA single rigid workflow would not fit detailed apparel BOMs, reusable footwear structures and partially documented hardgoods.
Comparable reportingThe 2018 baseline and 2024 figures needed restatement, with a clear rationale for leadership and the 2025 report.
Decision-ready LCAsProduct footprints needed to power reduction scenarios, not stop at reporting a footprint.

One evidence trail, adapted to the data available.

Carbon Trail combined category-specific product models, factory energy and water data, and corporate activity records. Assumptions and data gaps remained visible for review.

  1. CollectBring disparate inputs together

    BOMs, product records, PCFs and facility data were ingested with approaches suited to each category and its data quality.

  2. CalculateRepresent complex outdoor products

    Hardgoods used component and process-level detail where available and transparent gap-filling where data was incomplete.

  3. RebaselineConnect PCFs to GHG accounting

    The product evidence supported restatement of 2018 and 2024 alongside 2025 accounting, with a rationale for leadership and public reporting.

  4. ModelTurn LCAs into reduction plans

    Teams evaluated circular business models, packaging changes, lower-impact materials and lower energy use across Tier 1 and Tier 2 factories.

Product LCAs became a decision tool.

Mammut gained a more detailed view of complex outdoor-product impacts and a consistent evidence base for reporting and reduction planning. Modelled scenarios are possibilities, not claimed reductions.

MeasureBefore Carbon TrailWith Carbon TrailChange
Product coverageCategory data in different formats and levels of detail3.2k+ SKUs assessedCategory-specific LCAs across four product families
Corporate accountingHistorical figures on a prior methodology17.6k activities across 2018, 2024 and 2025Restated periods for a more comparable baseline
Supplier evidenceFacility data separate from product decisionsPrimary data from ~60 factories, supported by 247 Tier 1 and Tier 2 process datasetsMore supplier-specific inputs for LCAs
Decarbonization planningProduct and supply-chain ideas difficult to quantify togetherProduct and factory scenarios evaluated against the same evidence baseLevers compared in one practical plan

Different products. One accountable method.

A rope, a jacket and a boot do not arrive with the same evidence. Mammut's workflow matched the calculation method to each category without treating missing primary data as a reason to stop.

Apparel

Detailed bills of materials

Primary BOMs were complemented by Mammut-specific, PEF and industry assumptions where fields were missing.

Footwear

Reusable product structures

Representative constructions could be duplicated and adjusted across related styles instead of rebuilt from scratch.

Hardgoods

Granular when possible

Component and process inputs refined equipment LCAs even when only part of a product had primary data.

Bags

Primary product BOMs

Available material and component records were used to establish category-specific footprints.

From rebaseline to roadmap.

The PCF work did more than refresh a product dashboard. It helped explain the revised 2018 and 2024 figures to the Chief Supply Chain Officer and CEO, then supported communication of the methodology change in Mammut's 2025 Responsibility Report.

Circularity belongs in the model.

Mammut can compare circular business models with other product and supply-chain levers, see where reductions could come from and decide which options merit deeper validation. These are modelled pathways, not realised carbon savings.

Read Mammut's 2025 report (PDF, 46 MB)