Product footprints in Italy, from one style to every collection.

Measure product impact at scale in Italy 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
Italy flag

The same product workflow, adapted for Italy.

Keep one governed source of product and emissions data, then apply the national and European market context your team needs. Requirements can change without fragmenting the calculation or evidence beneath them.

Italy market viewNational + European Union scope
Italy flag
Shared product workflowProduct LCAProduct · supplier · evidence
MeasureConsistent source data
InterpretLocal applicability
PrepareMarket-ready output
Italy flagItaly + European Union

Textile laws and regulations in Italy

Track current fashion and retail regulation updates across Italy and understand what they may mean for your brand.

Product LCA questions for Italy

Common questions from fashion and retail teams evaluating product LCA in Italy.

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What is life cycle management software?

Life cycle management software is a tool that helps fashion retailers evaluate the environmental impact of a product like apparel or footwear over its entire life cycle, from farm to the end of life of the product.

What software is used for life cycle assessment in Italy?

The traditional LCA software programs include SimaPro, GaBi, Ecochain, and openLCA. However, these platforms are fairly manual and require prior LCA expertise. Platform like Carbon Trail use AI to automate LCA inventory management and streamline the LCA process, helping users save time and resources.

How does LCA software work?

LCA software typically requires three types of data - product data, supply chain data, and manufacturing data. This data can be imported from various sources, including Excel spreadsheets, bills of materials (BOM). Once the inventory is complete, the software calculates 16+ environmental impacts and provides visualization capabilities like Sankey diagrams.

How long does it take to do an LCA?

A properly rigorous LCA done using a consultant and compliant with ISO standards can take six months or more to do. However, a platform like Carbon Trail can automate the process and reduce the duration to only a few hours.

What is LCA cost in Italy?

The traditional Life cycle assessment (LCA) done by consultants like Quantis and Sphera can be quite expensive, costing between €20,000 – €50,000 or more per product depending on its complexity. Platforms like Carbon Trail leverage AI to automate LCAs and can conduct LCAs at scale a fraction of this cost.