Product carbon footprint platform for food brands and suppliers.
- Pricing
- Custom quote
- Category
- Carbon Accounting
- Compliance
- CSRD, ESRS, SBTi
Use case
How procurement and sustainability teams should evaluate supplier emissions programmes, from questionnaires to Scope 3 category mapping.
Supplier emissions data is the weakest link in most corporate inventories, and it is now demanded by several parties at once: CSRD value-chain disclosures, SBTi scope 3 targets, customer questionnaires and lender due diligence. The awkward part is ownership. Procurement controls the supplier relationship and the contract, sustainability owns the method, and finance often owns the spend data used as a fallback. Programmes fail when those three groups run separate spreadsheets.
Suppliers respond in whatever form they have. Some provide verified product footprints, some return a completed questionnaire with a company-level figure, some provide an invoice or production volume, and many do not respond at all. Each answer sits at a different quality tier and uses a different boundary, unit and reference year. The GHG Protocol Scope 3 Standard defines the 15 categories these answers must eventually populate, but it does not decide which supplier should be asked what, or how an estimate improves over time.
Failures are predictable. Every supplier receives the same questionnaire regardless of materiality, nobody chases non-responders, responses cannot be mapped to scope 3 categories without manual work, estimated and measured values are mixed without flags, and suppliers never see what happened to the data they submitted. Response rates stall in the second year and the programme loses credibility internally.
Evaluate tools on category mapping, data-quality tiers and estimation hierarchy, chasing and escalation, questionnaire flexibility, supplier feedback and an audit trail that survives assurance.
Scope 3 category mapping
Responses should map to the 15 GHG Protocol Scope 3 categories and to the relevant CSRD value-chain datapoints, with double counting between categories identified rather than discovered later in the inventory.
Data quality tiers and estimation hierarchy
The tool should rank data from supplier-specific and product-specific values down to industry averages and spend-based estimates, attach a tier to each figure and show how a supplier can move up a tier.
Chasing, deadlines and escalation
Check automated reminders, per-supplier deadlines, escalation to procurement when a strategic supplier does not respond, and dashboards showing response rates by category, spend and region.
Questionnaire flexibility and units
Templates should fit different supplier types, validate units and boundaries at entry, accept evidence such as invoices or verified footprints, and avoid forcing a single company-level intensity on every product.
Supplier feedback and engagement
Suppliers should see their submitted data, how it was used and how they compare with peers, with reduction guidance or recognition, so the programme is a relationship rather than a one-way data request.
Audit trail and inventory export
Keep per-response history, versioning and approval records, and export the approved dataset into the corporate inventory so an assurance provider can trace each scope 3 figure back to a supplier submission.
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Last verified 2026-10-22. Figures on the linked tools are checked against the sources above; confirm pricing and compliance coverage before signing.