Supplier Scope 3 emissions management that shows how much of the number is real
Scope 3 figures built on supplier data you can defend to auditors, category by category.
See one case, screen by screen ↓It is the work of collecting carbon data from suppliers, checking it and using it in place of spend-based estimates in the Scope 3 inventory. Supplier Scope 3 Emissions Management gives that work to five agents that read, match, check, chase and draft, and shows every category by how much of it rests on supplier data. The Head of Sustainability approves and signs the reported figures.
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Most of a pharma company's footprint sits in what it buys: APIs and intermediates, excipients, solvents, glass, packaging and contract manufacturing. Most of that number is still a spend estimate — euros spent times an industry-average factor. When a supplier moves its plant to renewable power and recovers its solvent, the reported figure does not move; when the supplier raises its price, the “emissions” go up with it.
Supplier data arrives in surveys, PDFs and product footprints of uneven quality: the wrong reference year, a cradle-to-grave boundary where Category 1 needs cradle-to-gate, economic allocation between co-products, a CDP company total with nothing to allocate it by. A small team reads them in spreadsheets and checks most by sample. Under CSRD limited assurance the auditor picks a figure and asks for its method and source — and a reduction that is really a method change is a credibility problem.
Estimated split for a two-person sustainability team working one annual cycle of 240 suppliers, by hand and with the solution.
Five specialist agents read, match, check, chase and draft; the Head of Sustainability approves and signs.
Veltara Therapeutics, a mid-size drug maker, is closing its FY2025 Scope 3 inventory: figures close on 24 October and the auditors arrive on the 27th. On Monday morning Kestrel Fine Chemicals sends a product carbon footprint for the VT-114 intermediate. Here is what happens next, screen by screen, in the working solution.
Nadia's home screen is the FY2025 inventory: 459,400 tCO2e across 10 categories, 59.8% on supplier data, against 18% in FY2023. Each category is one bar in four layers — supplier product data, supplier company data, average data and spend estimate. Category 1, purchased goods and services, is 316,300 t. Five supplier submissions are waiting to be checked.
“240 suppliers in this cycle · figures close Oct 24 · auditors from Oct 27”
Kestrel Fine Chemicals sends a PDF and a PACT data file for VT-114. The supplier data reader pulls out 182 kg CO2e per kg, cradle-to-gate, January to December 2025, mass allocation. The factor matcher finds the purchase line: 17.1 t bought in FY2025 for €38.6 M, today a spend estimate of 410 kg per kg, or 7,011 t. The checks run in view, step by step.
“Check passed · above the 250 t auto-accept limit — Waiting for a person to confirm the swap-in.”
Boundary, reference period, allocation and unit all pass. The mass balance holds: a process mass intensity of 210 kg per kg and 78% solvent recovery are consistent with the footprint. The figure sits inside the peer range from Veltara's own suppliers, 120–260 kg per kg, and the published API range of 50–1,000. The third-party limited assurance statement is on page 6. One note: biogenic carbon is not reported separately.
“Note only: not material for a synthetic route.”
Nadia confirms the swap-in. Kestrel's 7,011 t spend estimate becomes 3,112 t in the product-data layer, Category 1 falls from 316,300 to 312,400 t, and Scope 3 is now 455,500 t with 61.0% on supplier data. The note under the bar says why.
“supplier PCF, PACT-aligned. 182 kg CO2e/kg replaces a spend estimate of 410. Filed as a method change.”
Category 1 is now 84% on supplier data: 118,602 t on product footprints from 64 suppliers, 142,300 t on company emissions from 88 suppliers allocated by Veltara's share of their output, 22,900 t on average data and 28,599 t still on spend. Each line shows its source and method, and every supplier opens to its evidence.
Orvane Glass sent a footprint for its 2R tubular vials: 0.21 kg CO2e per vial, 3.3 million vials, 690 t. The reference year is 2022, older than the 24-month limit, and the footprint allocates economically between vials and tubing sold to other customers. Both checks fail, so the spend estimate of 1,180 t stays.
“Held: two questions drafted for Elena Varga to send. The spend estimate of 1,180 t stays.”
The follow-up writer drafts the letter to Orvane: a footprint for 2024 or 2025, and mass allocation for co-products from the same furnace, citing pages 2 and 4. If an updated footprint is not ready, furnace energy and tonnes of glass would let Veltara calculate it with them. Nine drafts wait to be sent, 21,757 t at stake. Elena sends hers under her own name.
Settings: “Let agents send follow-ups — Off: a category manager sends every message.”
From FY2024's 481,300 t, renewable power at 14 suppliers took off 9,800 t and solvent recovery at 6 suppliers 4,100 t, against 6,200 t more for higher volumes. Supplier data replacing estimates — now including Kestrel's 3,900 t — is a method change of its own, shown on a separate line and never counted toward the reduction target.
“Swap-ins change the method, not the atmosphere.”
Gross Scope 3 by category, the main methods behind each and the share calculated from supplier data, as ESRS E1-6 asks: 455,500 t, 61.0%. Category 1 now reads “Ready for approval”; the other nine categories were approved on 10 October. The method notes are written from the approved figures, and every figure opens to its trail.
Nadia approves Category 1 at 312,400 tCO2e and total Scope 3 at 455,500 tCO2e with her password and the meaning of her signature. The figures are locked for the auditors, and the assurance file is ready to send to Halden & Pryce, read-only for 60 days.
“I approve these figures for the FY2025 sustainability statement”
The same inventory, seen by the five people who carry it — what their cycle looked like, and what it looks like now.
Five specialist agents read, match, check, chase and draft; the Head of Sustainability approves and signs.
Reads product footprints, CDP responses, questionnaires, VSME reports and PACT data files, and pulls out the value and unit, boundary, reference period, allocation, primary data share, renewable electricity, solvent recovery and verification — each with its page.
Maps every purchase line to the most specific method the data supports, in the GHG Protocol order — product footprint, supplier company data, average data by mass, or spend — and records the factor set and its version.
Checks boundary, period, allocation, unit, mass balance against the route, peer range and verification, scores data quality 1–5, and classifies every change as real or method.
Drafts the question to the supplier for what failed, in the supplier's terms, citing the page it refers to, for the category manager to send.
Writes the ESRS E1-6 Scope 3 table, the method notes and the assurance trail from the approved figures.
Approves each category and signs. The agents propose; a named person decides.
Ask in plain words about a category, a supplier or what changed from last year — or say what to change. Every answer points to its source.
Why did Category 1 drop 3,900 tonnes?
Kestrel Fine Chemicals sent a product footprint for the VT-114 intermediate: 182 kg CO2e per kg, cradle-to-gate, 2025, mass allocation, verified. It replaced a spend estimate of 410 kg per kg on the 17.1 t bought: 7,011 t became 3,112 t. Category 1 is now 312,400 t. It is filed as a method change, so it does not count toward the reduction target.
Which suppliers would move the number most?
The largest lines still on a spend estimate: Sarnova Excipients, 2,410 t, held until they give a production volume; Orvane Glass, 1,180 t, held for 2022 data. Beyond suppliers, Category 2 capital goods is 67% spend estimate (27,900 t): asking 6 equipment makers would cover most of it.
How much of the change from last year is real?
From FY2024's 481,300 t, the like-for-like change is −7,700 t: renewable power at 14 suppliers −9,800 and solvent recovery at 6 suppliers −4,100, against 4% more purchases (+6,200). The rest is method change — supplier data replacing estimates — and it is reported apart from the target.
Require verification for any footprint above 500 t
Done. Footprints above 500 t now need a third-party verification statement (it was 1,000 t). In this cycle that adds 3 footprints; Arvenna and Tolsen already have one, Marisol Chemie does not, so a question is drafted for Rahul Menon. The change is in Settings and on the audit trail.
13 screens from the working solution, on its sample data. Pick one to see it large.
The checks every submission runs and who approves what are settings — versioned and on the audit trail.
| Setting | Default | Choose from |
|---|---|---|
| Second look when the footprint differs from the estimate by more than | ±60% | Step up or down, 10% at a time |
| Maximum footprint age | 24 months | Step up or down, 6 months at a time |
| Minimum primary data share in a product footprint | 40% | Step up or down, 5 points at a time |
| Verification statement required above | 1,000 t | 250 t to 2,000 t, in steps of 250 t |
| Auto-accept a passing submission below 250 t | On | On · Off |
| Accept a VSME report as the supplier's data | On | On · Off |
| Report swap-ins as method changes | On | On · Off |
| Let agents send follow-ups | Off | On · Off |
Every figure is labelled: a target the solution is built to, an estimate, a typical published result, or a proven one.
“demo” = seen in the working solution, on its sample inventory · “target” = the design goal, measured in the live solution · “estimated” = our estimate · “typical” = published figures (Sphera, 2025 Scope 3 Report — 79% name supplier data availability and 62% internal data quality as top challenges). The methods on this page refer to the GHG Protocol Scope 3 Standard, ESRS E1-6 and the PACT Methodology v3. People, companies and products named on this page, including Veltara Therapeutics, are fictional — characters and sample data in the working solution.
It is the work of collecting carbon data from suppliers, checking it and using it in place of spend-based estimates in the Scope 3 inventory. Supplier Scope 3 Emissions Management gives that work to five agents that read, match, check, chase and draft, and shows every category by how much of it rests on supplier data. The Head of Sustainability approves and signs the reported figures.
The plausibility checker tests boundary, reference period, allocation and unit, the mass balance against the route, the peer range from your own suppliers and published ranges, and the verification statement. Each check points to the page it read. A figure that fails a blocking check is held, and the spend estimate stays.
Product carbon footprints as PDFs and PACT data files, CDP climate responses, supplier questionnaires, VSME reports and carrier shipment data to the GLEC Framework, matched against your purchase ledger and approved factor sets.
No. Replacing a spend estimate with supplier data is filed as a method change, shown apart from real change such as renewable power or solvent recovery at suppliers, and never counted toward the Scope 3 reduction target.
Yes. The disclosure drafter writes the E1-6 table — gross Scope 3 by significant category, the methods behind each and the share calculated from supplier data — with method notes drafted from the approved figures. Every figure opens to its trail, and the trail exports for assurance.
Yes. The agents never send anything to suppliers, never change an approved figure and never swap in a figure that fails a check. Swap-ins above 250 t are confirmed by the ESG reporting manager or the Head of Sustainability, category managers send every follow-up, and the Head of Sustainability signs each category.
Yes. The estimate gap that triggers a second look, maximum footprint age, minimum primary data share, verification threshold, auto-accept limit, VSME acceptance and the factor sets are all settings, versioned and on the audit trail. Factor-set changes need approval.
The Agentic Solution Engine builds and deploys it from your requirements and documents — your reporting rules, factor sets, purchase data and a sample of past supplier submissions — and it goes live once every quality gate has passed. We will walk you through it on your own supplier data first.
Every answer drawn from one evidence library, cited and owner-approved.
1-min demoLegislative & Regulatory TrackingEvery relevant bill and rule read overnight and briefed with sources.
1-min demoEarnings Call PreparationLikely analyst questions answered from approved disclosures, cited.
1-min demoWe'll run Supplier Scope 3 Emissions Management on a sample of your own supplier submissions and purchase data.