Product footprints, from one style to every collection.

Measure product impact at scale with specific material, process, supplier and facility data—aligned with recognised global LCA methods.

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Carbon Trail product impact dashboard showing total and average product impact, primary data coverage, and climate impact charts by product type and material

Collection scale

Calculate product footprints across complete ranges, seasons and product categories.

Product-specific data

Account for materials, fabric formation, supplier processes, energy and geography.

Dynamic calculations

Refresh footprints as primary supplier data improves or product specifications change.

Recognised methods

Work with ISO, PEF and ADEME-aligned calculation and reporting requirements.

Trusted by fashion and retail teams

Calida
Deichmann
PDS Limited
Voice
Arvind
MAS Holdings
Asmara
Giltex
Sealand
Enviu
Virgio
Mira

Build the footprint from the product that was actually made.

Connect the product specification to the material, fabric formation, manufacturing and supplier records behind it. Every input keeps its source, geography and evidence status.

  • Product and material composition by weight
  • Fabric formation and process-level supplier data
  • Packaging, transport, use and end-of-life inputs
Slim jeans · Article 2251790
API connected
Product specification98% cotton · 2% elastane0.62 kg finished product
Raw materialCotton · fibre source
Modelled
Fabric formationSpinning · weaving · dyeing
Primary data
AssemblyCutting · sewing · finishing
Primary data
DownstreamTransport · use · end of life
Modelled
Source evidence retainedReady to calculate

Turn supplier operations into product-specific factors.

Use each facility’s location, process and energy mix to create primary LCA datasets. When a facility decarbonizes, its factor recalculates and the improvement flows into every connected product footprint.

Supplier process dataDyeing · Bangladesh
Electricity1.84 kWh / kgMetered
Thermal energy6.20 MJ / kgPrimary
Water72.4 L / kgPrimary
Renewable electricity0%35%
Primary LCA datasetContinuous dyeing
Validated
Facility factor updates
Current mix2.96kg CO₂e / kg
35% renewable electricity2.31kg CO₂e / kg22% lower

Updated across connected product footprints

Data qualitySupplier-specific
Used byProduct LCAScope 3Scenario analysis

Calculate the complete lifecycle in one controlled engine.

Combine approved secondary datasets with product and supplier-specific evidence. Carbon is one of approximately 20 LCA impact indicators—the same calculation also covers water use, eutrophication, resource use, ecotoxicity and more.

Product footprint calculationSlim jeans · Demonstration result
Cradle to grave
Medium-indigo slim-fit jeans used in the demonstration product footprint
Total climate impact21.83kg CO₂e

Fabric production is the largest contributor.

Raw materials5.09 kg CO₂e
Fabric productionHotspot11.88 kg CO₂e
Assembly0.49 kg CO₂e
Distribution1.52 kg CO₂e
Use2.21 kg CO₂e
End of life0.64 kg CO₂e
Beyond carbonApproximately 20 impact indicators in a complete LCA
Multi-impact
Water use71.13 m³ world-eq
EutrophicationFreshwater · marine · terrestrial
Resource useFossil · minerals · metals
EcotoxicityFreshwater ecosystems
MaterialsManufacturingDistributionUseEnd of life

See product impact across the collection—not one report at a time.

Use custom dashboards to analyse total impact and average impact per product, then filter by fibre, season, collection, year, product type or category.

  • Choose the impact metrics and chart types your team needs
  • Identify the highest-impact products and lifecycle stages
  • Track primary-data coverage as supplier evidence improves
Collection impactCurrent season
18420 products
Total impact751.27kg CO₂-eq
Average / product13.42kg CO₂-eq
Primary data68%Coverage
Highest-impact productskg CO₂-eq
Long-sleeved shirt92.06
Backpack #0160.55
Knit product24.07
Agile sneaker22.11

Start calculating without losing sight of missing data.

Carbon Trail automatically fills missing product inputs, highlights every filled value for review and explains the reasoning behind it. Teams can replace any filled value when primary data becomes available.

  • Allocate product weight intelligently across main and lining fabrics
  • Review the reasoning and evidence behind every filled value
  • Replace filled values and recalculate when primary data arrives
Fabric amount reviewSlim jeans · 620 g finished weight
3 values filled
Finished product weight620 g
Provided
Main denim fabric548 g · 88.4%
Auto-filled
Pocket lining42 g · 6.8%
Auto-filled
Trims and other materials30 g · 4.8%
Auto-filled
Allocation reasoningThe 620 g product weight is allocated using the component roles, garment construction and comparable denim-trouser records. The main shell receives the largest share, while lighter pocket lining and trims retain distinct amounts.
Garment type: denim trousersMain vs lining role retainedComparable BOM pattern
620 g fully allocated
3 values highlighted for review

Keep methodology, factors and evidence ready for review.

Use recognised LCA methods and retain the calculation trail behind every product. Review the inputs in Carbon Trail or export product-level PDF and Excel reports.

Methodology alignmentProduct footprint calculation
All aligned
ISO 14040/44LCA principles and frameworkAligned
ISO 14067Product carbon footprintAligned
Product Environmental FootprintEU multi-impact methodAligned
ADEME methodsFrench environmental methodsAligned
Product LCA reportSlim jeans · Article 2251790
Ready
Methodology and system boundaryDocumented
Product and supplier activity dataTraceable
Emission factors and versionsVersioned
Filled data and reasoningHighlighted
Evidence package complete
PDF reportExcel export

FAQs

Answers about product data, supplier-specific factors, data gaps, methodology alignment and reporting.

Which product data can Carbon Trail use for an LCA?

Carbon Trail can bring together product specifications, material composition, fabric formation, manufacturing processes, supplier and facility data, geography, transport, packaging, use and end-of-life assumptions. The source and quality of each input remain visible in the calculation record.

How does primary supplier data improve a product footprint?

Supplier location, process-level energy use and energy mix can replace broader secondary assumptions with product and facility-specific evidence. Carbon Trail retains the factor source and connects it to the products and processes where it is used.

What happens when product data is missing?

Missing inputs are flagged for review. Carbon Trail can suggest an appropriate proxy or default so teams can begin calculating, while keeping the assumption visible and allowing it to be replaced when primary data becomes available.

Do footprints update when product or supplier data changes?

Yes. Connected product footprints can be recalculated when specifications, sourcing, supplier processes, energy data or approved factors change, so the collection view reflects the latest governed inputs.

Which LCA standards does Carbon Trail support?

Carbon Trail supports product footprint work aligned with recognised methodologies including ISO 14040/44, ISO 14067, Product Environmental Footprint requirements and relevant ADEME methods.

Can we export product-level evidence for review?

Yes. Teams can review the methodology, activity data, emission factors, assumptions and data-quality evidence behind a footprint, then export product-level LCA reports in PDF and Excel formats.