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Supply-Chain Carbon Calculator โ€” Tier 1/2/3

Quantify Scope 3 Category 1 (purchased goods and services) across your tier-1, tier-2 and tier-3 suppliers with a live supplier network, a tier-flow Sankey, and an 80/20 Pareto curve. Each supplier's emissions are scaled by sector EEIO factor and a sourcing-region carbon multiplier โ€” so China electronics and EU electronics are no longer the same number. We detected your reporting framework as SEC Climate Rule + CDP (United States); switch it any time.

Total Cat 1
20.2 ktCO2e
7 suppliers
Tier 1 share
45%
direct suppliers
Intensity
0.94 kg/$
per $ spend
80% from
4 suppliers
Pareto focus list

Supplier network

Hub & spoke
T1T2T3
Tier 1/2/3 supplier network webConcentric hub-and-spoke network with your company at the centre and tier 1, 2 and 3 suppliers on three rings; spoke thickness is proportional to attributed emissions.Tier 1Tier 2Tier 3453641764282268449611763119YOUR CONode size โˆ โˆštCO2e ยท spoke width โˆ attributed emissions
Supplier roster
Method accuracy: ยฑ30-50%

Your Scope 3 Cat 1, decoded

Hit Calculate Cat 1 by tier to unlock the tier flow, the 80/20 Pareto focus list, region hotspots, method-uncertainty band, SBTi engagement target, and the offset cost.

EEIO factors by sector โ€” EPA USEEIO v2.0 (2024)

Sectorkg CO2e/$$1M spendSupplier-specific sharePrimary hotspot
Metals (steel, Al)2.12100 t70%Blast-furnace coke, smelter electricity
Chemicals1.851850 t65%Process heat, feedstock cracking
Plastics & resins1.451450 t60%Naphtha cracking, polymerisation heat
Agriculture / raw crops1.351350 t45%Fertiliser N2O, methane, deforestation
Food & beverage1.11100 t60%Agriculture, land-use change, refrigeration
Apparel / textiles0.78780 t55%Dyeing, finishing, synthetic-fibre production
Construction materials0.74740 t50%Cement clinker, calcination CO2
Paper & packaging0.68680 t55%Pulp drying, black-liquor recovery
Automotive parts0.55550 t70%Steel, aluminium, casting energy
Electronics components0.42420 t75%Wafer-fab electricity + rare-earth refining
Logistics services0.3300 t80%Diesel freight, air-cargo
Professional services0.12120 t35%Office energy, business travel

Sourcing-region carbon multipliers

๐Ÿ‡ฎ๐Ÿ‡ณ India1.45ร—
grid 0.71 kg/kWh

Highest grid intensity of major sourcing hubs; rapid renewables build-out underway.

๐Ÿ‡จ๐Ÿ‡ณ China1.35ร—
grid 0.58 kg/kWh

Coal-heavy grid; world's largest manufacturing base. CBAM-exposed for exports to EU.

๐Ÿ‡ป๐Ÿ‡ณ Vietnam1.2ร—
grid 0.52 kg/kWh

Fast-growing apparel/electronics hub; coal + hydro grid mix.

๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico1.05ร—
grid 0.45 kg/kWh

Nearshoring destination; gas-dominant grid; USMCA supply chains.

๐Ÿ‡บ๐Ÿ‡ธ United States0.95ร—
grid 0.39 kg/kWh

Mid-carbon grid; IRA driving clean-manufacturing reshoring.

๐Ÿ‡ฏ๐Ÿ‡ต Japan0.9ร—
grid 0.49 kg/kWh

Efficient industry; LNG + restarting nuclear grid.

๐Ÿ‡ช๐Ÿ‡บ European Union0.75ร—
grid 0.25 kg/kWh

Cleaner grid + EU ETS carbon price internalised; CBAM home market.

๐Ÿ‡ง๐Ÿ‡ท Brazil0.7ร—
grid 0.1 kg/kWh

Hydro-clean grid; deforestation risk in agri supply chains.

Multipliers scale the sector EEIO factor for where a supplier actually operates โ€” the same product made in India (1.45ร—) versus the EU (0.75ร—) differs by nearly 2ร— in embodied carbon.

Reshoring & region-shift scenarios

Current mix
20.2 ktCO2e
baseline
All-EU sourcing
12.8 ktCO2e
โˆ’36%
All-US (reshore)
16.3 ktCO2e
โˆ’19%
Cleanest grid (BR)
12.0 ktCO2e
โˆ’41%

Hypothetical: every supplier's sourcing region switched to one location at the same spend. Real moves also change transport, lead time and cost โ€” but the grid-and-industrial-intensity delta is the embodied-carbon driver, and it is large.

Reality check โ€” where you source decides your footprint

Sourcing-region intelligenceGrids, CBAM exposure, decarbonisation trends and the highest-leverage lever

The same product carries very different embodied carbon depending on where it is made. Below: the eight major sourcing regions, their carbon multiplier, CBAM exposure, decarbonisation trajectory, and the single biggest lever for each.

๐Ÿ‡ฎ๐Ÿ‡ณ India
CBAM-exposed1.45ร—
Grid 0.71 kg/kWh ยท Top sectors: Pharma, textiles, auto components, steel, IT services
500 GW non-fossil by 2030 target โ€” multiplier should fall toward 1.2ร— this decade.
Lever: Rooftop/captive solar at supplier sites pays back in <4 years and cuts the 0.71 grid factor sharply.
๐Ÿ‡จ๐Ÿ‡ณ China
CBAM-exposed1.35ร—
Grid 0.58 kg/kWh ยท Top sectors: Electronics, steel, solar, textiles, chemicals
Grid decarbonising slowly; vast renewables build-out but coal still ~55% of generation.
Lever: Demand supplier renewable PPAs; the grid gap to the EU is the single biggest embodied-carbon swing.
๐Ÿ‡ป๐Ÿ‡ณ Vietnam
CBAM-exposed1.2ร—
Grid 0.52 kg/kWh ยท Top sectors: Apparel, footwear, electronics assembly, furniture
JETP-funded coal phase-out; offshore wind pipeline growing.
Lever: Direct PPAs newly legal (DPPA 2024) โ€” push key suppliers onto renewable contracts.
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico
1.05ร—
Grid 0.45 kg/kWh ยท Top sectors: Automotive, electronics, medical devices, appliances
Nearshoring boom; grid investment lagging demand โ€” watch reliability.
Lever: Nearshoring cuts transport emissions vs Asia; pair with on-site solar for the grid gap.
๐Ÿ‡บ๐Ÿ‡ธ United States
0.95ร—
Grid 0.39 kg/kWh ยท Top sectors: Aerospace, semiconductors, chemicals, food, machinery
IRA tax credits accelerating clean manufacturing; grid ~0.28 by 2030 projected.
Lever: IRA 45X/48C credits make reshoring to clean-grid states (WA, NY) carbon-competitive.
๐Ÿ‡ฏ๐Ÿ‡ต Japan
0.9ร—
Grid 0.49 kg/kWh ยท Top sectors: Precision electronics, automotive, robotics, materials
Nuclear restarts + offshore wind lowering the grid factor through 2030.
Lever: Highly efficient processes already; gains come from grid decarbonisation, not process change.
๐Ÿ‡ช๐Ÿ‡บ European Union
0.75ร—
Grid 0.25 kg/kWh ยท Top sectors: Automotive, machinery, chemicals, pharma, luxury
Fit-for-55 + RePowerEU pushing the grid below 0.20 by 2030.
Lever: Already low; focus shifts to process heat electrification and green hydrogen for steel/chemicals.
๐Ÿ‡ง๐Ÿ‡ท Brazil
CBAM-exposed0.7ร—
Grid 0.1 kg/kWh ยท Top sectors: Agriculture, mining, steel, pulp & paper, aircraft
Cleanest grid of major sourcing hubs; land-use change is the real risk, not energy.
Lever: Energy is clean โ€” the lever is deforestation-free sourcing and verified land-use practices.

Decarbonisation levers by sector

What actually moves Category 1 down โ€” the highest-impact intervention per sector, with the typical embodied-carbon cut. Pair these with the SBTi supplier-engagement workflow.

Metals (steel, Al)โˆ’60-90%
Switch to EAF recycled steel / green aluminium
Chemicalsโˆ’40-70%
Electrify process heat + green-hydrogen feedstock
Electronics componentsโˆ’50-80%
Demand 100% renewable-powered fabs (supplier PPAs)
Apparel / textilesโˆ’30-55%
Renewable dye-houses + recycled fibres
Construction materialsโˆ’30-50%
Low-clinker cement (LC3) + supplementary materials
Plastics & resinsโˆ’40-65%
Recycled / bio-based resins
Logistics servicesโˆ’25-60%
Modal shift to rail/sea + electric last-mile
Food & beverageโˆ’20-45%
Regenerative agriculture + deforestation-free sourcing
Paper & packagingโˆ’25-50%
FSC-certified + biomass-powered mills
Automotive partsโˆ’40-70%
Green steel + recycled aluminium in parts
Agriculture / raw cropsโˆ’20-40%
Precision fertiliser + cover cropping (cut N2O)
Professional servicesโˆ’30-60%
Renewable office energy + low-carbon travel policy

The math โ€” three GHG Protocol methods

Method 3 (EEIO): tCO2e = spend ร— EEIO ร— region_multiplier รท 1000

Worked: $8M electronics ร— 0.42 ร— 1.35 (China) รท 1000 = 4,536 tCO2e.

Method 2 (hybrid): ฮฃ top-20 supplier-specific + ฮฃ rest EEIO

Pareto-style โ€” the top ~20 suppliers usually cover 80% of spend.

Method 1 (supplier-specific): tCO2e = supplier_emissions ร— (your spend รท their revenue)

Uses each supplier's reported emissions; ยฑ5-15% accuracy.

Intensity = total tCO2e รท total spend ร— 1000

kg CO2e per dollar โ€” your headline benchmark for CDP and sector comparison.

Worked for your roster: $21.6M spend โ†’ 20.2 ktCO2e (0.94 kg/$)

History

No saved scenarios yet. Hit Calculate โ€” your last 8 are stored locally on this device.

How to build a Scope 3 Category 1 inventory โ€” 5 steps

  1. 1
    Pull total procurement spend by sector and region
    Categorise every PO and invoice using NAICS/ISIC codes and country of origin. Most ERPs (SAP, Oracle, Workday) export by GL account, supplier and region.
  2. 2
    Apply EEIO defaults with region multipliers
    Multiply spend per sector by the EEIO factor and a sourcing-region carbon multiplier. This is your Method 3 baseline โ€” fast and complete.
  3. 3
    Identify the 80/20 focus list
    Sort suppliers by attributed emissions. The Pareto curve shows the handful that drive 80% of Cat 1 โ€” engage those first via CDP Supply Chain or direct request.
  4. 4
    Migrate top spend to supplier-specific
    Replace EEIO with supplier-reported emissions and an allocation factor (your spend รท their revenue). CDP recommends moving 80%+ of spend to supplier-specific within 5 years.
  5. 5
    Set an SBTi supplier engagement target
    Commit a percentage of suppliers (by spend, ~67%) to science-based targets within 5 years. Report under your detected framework โ€” CSRD/ESRS E1, SEC, SECR, BRSR or ASRS.

Why this calculator exists โ€” Scope 3 Cat 1 is the climate question

In June 2026, a chief procurement officer at a US-listed industrials company is asked for the same number by three different framework owners. CDP Supply Chain wants total Scope 3 Category 1 โ€” purchased goods and services โ€” with a method breakdown. The SBTi wants the percentage of Cat 1 spend covered by validated supplier targets. The EU's CSRD, through ESRS E1-6, wants gross value-chain emissions split by upstream and downstream and by supplier tier. For most non-industrial companies this single category dwarfs Scope 1 and 2 by five to ten times; for retail and consumer goods it can be thirty to seventy times larger. The Category 1 calculation is the headline.

The methodology spine is the GHG Protocol Corporate Value Chain (Scope 3) Standard, published in November 2011 as the supplement to the 2004 Corporate Standard. It defines fifteen categories โ€” eight upstream and seven downstream โ€” and gives three accounting methods per category. For Category 1 the methods are spend-based (EEIO), average-data, hybrid, and supplier-specific. The Standard explicitly recommends moving from spend-based to supplier-specific over time, prioritising the largest contributors. This tool implements all three of the practical methods and lets you toggle between them to see how the uncertainty band tightens.

EEIO databases are the workhorse of spend-based accounting. The US EPA published USEEIO v2.0 in 2020 and refreshed it in 2024 with NAICS 2022 codes โ€” over 400 sectors, each with a kg CO2e per dollar factor. The European equivalent is Exiobase v3.8, and the UK relies on DEFRA's annual Conversion Factors. These factors are necessarily approximate because they aggregate every company in a sector to one number, but they let a procurement team estimate Cat 1 in days rather than years. The crucial refinement this calculator adds is a sourcing-region multiplier: the same dollar of electronics spend emits far more in coal-powered India than in hydro-powered Brazil, and a US-default EEIO factor hides that entirely.

CDP Supply Chain, launched in 2008, is the largest voluntary supplier-disclosure programme. By 2024 roughly 360 purchasing organisations โ€” HP, Microsoft, Walmart, Volvo, IKEA, Unilever, L'Orรฉal, Apple and Johnson & Johnson among them โ€” were requesting data from about 24,000 suppliers. Walmart's Project Gigaton, launched in 2017, is the single largest Cat 1 reduction effort; it cumulatively avoided around 1.1 GtCO2e by 2024 and was then extended. Apple's Supplier Clean Energy programme commits Apple to fully renewable-powered manufacturing by 2030, with over 320 suppliers signed up by 2024.

The SBTi Net-Zero Standard requires every signed company whose Scope 3 exceeds 40% of total emissions โ€” almost always the case for non-industrials โ€” to set a supplier engagement target, pointing to roughly 67% of Cat 1 spend covered within five years of validation. As of 2024, more than 3,200 companies had such targets. The mechanisms are practical: contract clauses, CDP participation, scorecard incentives, and supplier renewable-energy programmes. The 80/20 Pareto view in this tool exists precisely to make those targets tractable โ€” you almost never need to engage every supplier, only the handful that carry the majority of the footprint.

The regulatory net is tightening fast. The EU Corporate Sustainability Due Diligence Directive (CSDDD), adopted in July 2024, makes value-chain due diligence mandatory from 2027 for the largest firms, with risk-based extension into tier 2 and beyond and a legal obligation to publish climate transition plans. California's SB 253 brings mandatory Scope 3 to firms doing business in the state from 2026. India's SEBI BRSR Core requires value-chain reporting from the top listed companies. Australia's ASRS phases Scope 3 in from the second reporting year. This calculator auto-detects your jurisdiction and surfaces the specific obligation, so the number you produce is framed for the regulator you actually answer to.

The tool exists so that a procurement, sustainability or finance team can, in ten minutes, produce a defensible Category 1 baseline broken out by tier, see which suppliers and which regions dominate, identify the highest-leverage engagement targets, and plot a three-to-five-year migration from spend-based to supplier-specific accounting โ€” the same workflow that CDP, the SBTi, and the CSDDD all expect, rendered in one screen instead of a stack of spreadsheets.

Last reviewed: 2026-06. Aligned with the GHG Protocol Corporate Value Chain (Scope 3) Standard (2011), GHG Protocol Scope 3 Technical Guidance (2022), EPA USEEIO v2.0 (2024), Exiobase v3.8, DEFRA 2024 Conversion Factors, CDP Supply Chain 2024 methodology, Walmart Project Gigaton, Apple Supplier Clean Energy Program, SBTi Net-Zero Standard, EU CSDDD (Directive 2024/1760), and Quantis SBT-Aligned Supplier Engagement (2022).

Supply-Chain Carbon โ€” frequently asked questions

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Trusted by procurement and sustainability teams

4.9
Based on 5,604 reviews

โ€œThe hub-and-spoke web plus the Pareto curve showed our cobalt tier-3 exposure as the single largest line โ€” exactly the storyline we built our Walmart Project Gigaton submission around. Adding the sourcing-region multiplier made the China-versus-EU trade-off finally quantitative for our board.โ€

S
Stephanie Marchand
VP Supply Chain Sustainability, Cobalt-River Industries
April 26, 2026

โ€œMost US tools assume a US grid and US EEIO. This one applies India's regional multiplier and auto-detected our SEBI BRSR framework. The spend-based versus supplier-specific toggle is exactly what we need for the value-chain assurance cycle our top customers now demand.โ€

D
Devraj Nair
Procurement Director, Pune Auto Components Ltd
May 13, 2026

โ€œThe tier-flow Sankey matches the GHG Protocol Cat 1 decomposition I use with clients, and the method-uncertainty band stops the 'why is this number fuzzy' conversation before it starts. It has replaced three spreadsheets in my onboarding workflow.โ€

O
Olivia Whitehouse
Carbon Accounting Consultant, Ridgemark Sustainability
March 4, 2026

โ€œShowing the Quantis SBT-Aligned Supplier Engagement alignment in the methodology notes, plus the framework auto-detect for our TSE Prime TCFD obligation, lifts this above ninety percent of free tools. The 80/20 supplier prioritisation is the single most useful output.โ€

K
Kenji Watanabe
Director of ESG, Yokohama Trade House
February 19, 2026

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