Product carbon footprints are moving out of sustainability reports and into the systems that manage catalogues, procurement, suppliers and assortment. The new Gebr. Heinemann and ClimatePartner programme is designed to help brands calculate and exchange product-level emissions data without forcing them to use one software application.
- The programme provides free training, methodology and operational support for travel-retail suppliers.
- Its infrastructure draws on GS1 standards and the work of the Travel Retail Data Innovation Group.
- The commercial objective should not be a standalone label. It should be comparable data that identifies hotspots, supports reduction and improves portfolio decisions.
What is happening
Gebr. Heinemann and ClimatePartner have created a supplier-enablement programme for measuring, understanding, managing and sharing product-level emissions. ClimatePartner brings carbon-accounting and training expertise. Heinemann wants to improve Scope 3 transparency and work with brand partners on supply-chain decarbonisation.
The initiative builds on the Travel Retail Data Innovation Group and uses GS1 standards for exchange. This matters because the footprint should not live in a spreadsheet detached from the catalogue. It needs to remain linked with the product as data moves between supplier, distributor, retailer and partners.
The programme sits inside a broader shift. PACT, led by WBCSD, now reports more than four million PCFs and 48 compatible software solutions. Its methodology is designed to calculate and exchange comparable product data using supplier-specific primary information.
European regulation adds pressure. The Ecodesign for Sustainable Products Regulation establishes the framework for a Digital Product Passport. It does not mean every travel-retail item must publish a carbon footprint tomorrow. It confirms the direction towards structured, interoperable and accessible environmental information.
Why the footprint is becoming product data
Scope 3 cannot be managed through spend alone
GHG Protocol allows purchased-goods estimates based on averages or financial spend. These methods help create a baseline, but they do not respond when a supplier changes energy, materials or production. Supplier-specific product data can reflect a physical reduction.
Procurement needs to distinguish products, not only companies
A company may have a strong climate strategy and one emissions-intensive SKU. Another supplier may offer a specific product with meaningful improvements. PCF data examines the unit that is bought, sold and replenished.
Data can follow design changes
Bottle, formula, concentration, pack, weight, origin and transport all affect the footprint. Versioned data allows companies to test whether an innovation reduces impact or moves emissions to another stage.
Buyers need reusable evidence
Answering every questionnaire with a different figure increases cost and distrust. Shared infrastructure allows the supplier to calculate once with adequate documentation and provide data to several customers under defined permissions.
Identify
Connect the footprint to a product, GTIN and version.
Calculate
Retain the boundary, source data and methodology.
Exchange
Share a standard record with clear permissions.
Decide
Use it in product design, buying and assortment.
Reduce
Track a verifiable outcome against the baseline.
Transparency creates value when it changes a decision and measures the result. PCF data therefore belongs inside a continuous decision, reduction and updating cycle.
What it means for travel retail
Travel retail combines categories with very different supply chains: fragrance, liquor, confectionery, fashion, electronics and local products. One company-level number cannot explain that diversity. SKU-level data can show whether the hotspot lies in ingredients, packaging, manufacturing or transport.
For the retailer, PCF should not replace margin, demand or relevance. It adds another portfolio dimension. Two products serving a similar commercial role can be assessed under compatible rules. Retailers can also identify which items concentrate emissions through total volume, not only per unit.
For airports and operators, the data may support tenders, joint targets and value-chain reporting. However, attributing all product emissions to an airport or adding product, transport and operational figures without checking overlap would produce misleading totals.
For brands, PCF capability makes customer requests easier and reveals innovation opportunities. It also increases responsibility. A shopper claim needs to be explainable and should not present carbon as a complete measure of sustainability.
Where the commercial opportunities appear
Add carbon to portfolio analysis
Combine PCF, margin, velocity, volume, exclusivity and category role.
Prioritise redesign
Find hotspots in formula, ingredients, packaging, weight and energy.
Review bottle and transport
Compare glass, formats, concentration, origin and logistics consolidation.
Improve tenders
Include data maturity, reduction plans and supplier collaboration.
Simulate alternatives
Connect routes, modes, weight, load, frequency and service with emissions.
Create interoperability
Link GTIN, version, method, evidence, permissions and updates.
Value future risk
Include carbon, regulation, adaptation cost and supplier dependence.
Communicate with evidence
Activate verified improvement without turning complexity into greenwashing.
Does your carbon data change a decision or only complete a report?
Risks and practical barriers
- False precision. Decimal places may hide estimates, allocation and secondary data.
- Incompatible boundaries. Cradle-to-gate and full lifecycle numbers cannot be mixed without context.
- Wrong unit. Comparing per pack may give a different answer from comparing per dose or use.
- Outdated data. Factory, formula, energy or supplier changes require versioning and recalculation.
- Double counting. Adding product, transport and operational data without rules can duplicate emissions.
- SME burden. Smaller suppliers need training, tools and realistic priorities.
- Confidentiality. Formula, process and supplier information may be commercially sensitive.
- Greenwashing. A lower PCF does not support broad or absolute environmental claims.
The Heinemann programme is intended to build capability and transparency. No procurement criteria, SKU-coverage targets or assortment decisions based on PCF have been published.
How Marksyte can help
Marksyte can turn Product Carbon Footprint data into a governed and comparable commercial variable connected with portfolio decisions.
PCF data model
Define identity, unit, boundary, method, quality, version and permissions.
Supplier segmentation
Separate maturity, coverage, materiality, quality and reduction capability.
Hotspot analysis
Prioritise SKUs and stages with high emissions and improvement potential.
Portfolio optimisation
Combine carbon, sales, margin, velocity, traffic and strategic role.
Redesign scenarios
Model packaging, formula, weight, energy, origin and transport changes.
Dashboards and alerts
Track coverage, quality, expiry, reductions and missing data.
AI assistants
Review documentation, identify inconsistencies and answer internal questions.
Impact measurement
Separate data improvement, portfolio mix and physical emissions reduction.
A practical 90-day agenda
- Define the use case. Select reporting, procurement, design, assortment or communication.
- Prioritise products. Start with material categories, high volume or prepared suppliers.
- Agree the schema. Set fields, accepted methodology, quality, updates and permissions.
- Build a pilot. Connect PCF with sales, margin, velocity and reduction scenarios.
- Establish governance. Assign ownership, validation, version control and use rules.
Product carbon footprints become an asset when they stop being static numbers. Integrated with product data, they can improve buying, design and evidence of real reductions. Without methodology and governance, they add another difficult column to the catalogue.
Frequently asked questions
What does a Product Carbon Footprint measure?
A PCF quantifies greenhouse-gas emissions associated with a product within a defined boundary. It may cover raw materials to the factory gate or a wider lifecycle. The number is only meaningful when methodology, boundary, functional unit, period, version and data quality are retained.
Can two products be compared directly?
Not always. Comparison requires compatible boundaries, allocation rules, units, geographies, periods and methodologies. A lower carbon number does not by itself prove that a product is more sustainable overall because water, biodiversity, waste, circularity and social impacts may be outside scope.
Should the footprint be displayed to shoppers?
It may be useful, but it should not be the first use. Calculation, validation, updating and explanation should come first. In many cases, the strongest early value lies in procurement, product design, logistics, assortment and tracking reductions.
Sources
- The Moodie Davitt Report, Heinemann and ClimatePartner supplier programme, 28 July 2026
- Gebr. Heinemann, climate strategy and SBTi-validated targets
- ClimatePartner, Product-level carbon data: Procurement's newest currency, 16 December 2025
- WBCSD, Partnership for Carbon Transparency
- WBCSD, PACT Methodology Version 3, 2 June 2026
- GS1, standards for sustainability-data exchange and traceability
- GHG Protocol, Corporate Value Chain Scope 3 Standard
- GHG Protocol, calculating emissions from purchased goods and services
- European Union, Ecodesign for Sustainable Products Regulation and Digital Product Passport
The article separates published programme facts, existing standards and commercial interpretation. It does not assume that Heinemann currently uses PCF as a product-selection or exclusion criterion.