One measured supply chain, from farm to disclosure
Carbon-OS resolves Tata Consumer's raw-material sourcing into product carbon footprints: allocated to each product, data-quality scored, and disclosure-ready for SBTi FLAG, BRSR, EUDR and your retail customers. Below is the live state of the workspace.
Bring a supplier or estate into the book by CSV, a sample file, or a manual total. The wizard maps it to the PCF schema, scores the data quality, and issues the supplier a reusable carbon passport.
Reported footprint under BRSR Disclosed · FY26 · Assured
This part is done, and done well. Carbon-neutral operations is the hard-won win. The frontier that decides net-zero-2040 is the Scope 3 below, and it is 92% of the picture.
Reported vs real supplier footprint Illustrative
The Scope 3 Tata Consumer reports today is a modelled sliver. The emissions that decide net-zero-2040 sit in the farms and mills that grow and pack the product, and they are roughly 23× larger.
Britannia, your size, already reports 4.0 Mt. The gap is not carbon you do not emit. It is carbon you have not yet counted, and two-thirds of it is grown on farms you already touch.
Jump into the platform
Every raw-material stream: supplier, source, allocation, procurement, farm-to-gate emissions, PCF per kg, data score.
The supplier footprint by category, region, hotspot and trajectory, plus the KPI set for a review.
Your share of each supplier's carbon: volume or spend over supplier output, live per class.
Build an SBTi FLAG, BRSR, CDP, EUDR, IFRS S2 or retailer PCF output. Export to Excel, PDF, CSV.
Sourcing book: every raw material, resolved into carbon
Import a procurement ledger or add suppliers one by one. Each stream carries its source, allocation share, annual procurement, farm-to-gate emissions, PCF per kg, and data-quality score, all recomputing live. One book, one number, everywhere it appears.
| Supplier / stream | Class | Data source | Alloc % | Procurement | Supplier emis | PCF kg/kg | Attributed | PCF score | |
|---|---|---|---|---|---|---|---|---|---|
| Total · 200 suppliers | ₹12,520 Cr | ≈4.5 Mt | wtd 3.1 | ||||||
What the sourcing book handles
Procurement import
CSV / ERP ledger upload, mapped to the PCF schema
Category classification
Commodity, origin, tier, certified vs conventional
Automatic allocation tagging
Farm & primary · processed · logistics. Sets the allocation formula
Farmer-network linked
trustea, Rainforest Alliance and Farmforce farms already in the pipe
Supplier carbon passport
Each supplier gets a reusable footprint they can hand every buyer
Seasonal snapshots
Versioned states for year-over-year and harvest-over-harvest
Assam & Dooars tea: your biggest hotspot, and theirs
Two readings of one supplier network. Part 1: where the tea book stands today. Part 2: what happens to your footprint and their premium when regenerative practice gets financed and the data flows both ways.
Current state: the tea book today
Their sourcing position Disclosed · TCPL public
55% of the tea Tata Consumer buys in India is trustea and Rainforest Alliance certified, and 100% of Tetley is Rainforest Alliance certified. The certification is real. It proves good practice. It does not yet carry a kgCO2e per kg of tea.
A certified farm with no carbon number is an audited supplier you still cannot put on a product label.
Current position Illustrative
Static today. Part 2 shows what moves them.
Scenario: financing regenerative tea
Model the practice adopting
Drag adoption forward and watch four numbers move: your footprint falls, their access opens. Illustrative model
One slider, four readings. Your risk and their opportunity are the same number, read twice.
Attributed tea emissions to FY30 Illustrative projection
The gap between those two lines is in your Scope 3 either way. Financing the green line is how you choose which one you own, and hand your grower a premium.
What the estate gets: the supplier-side pilot
This drilldown is also the reason the grower opts in. In a live pilot, the estate gets a supplier workspace on the same rails: its farm-level footprint, its regen plan tracked against actuals, and a carbon passport it can hand every buyer, not only Tata. That is the pull that makes suppliers want in. The passport unlocks EUDR-compliant, PCF-graded, higher-value contracts across the market, so keeping the data current is in the grower's own interest, not a favour to you.
B2B2B: your pilot creates their passport. The same drilldown runs for all 200 suppliers, and each has its own reason to keep the data alive.
Allocation engine: your share of each supplier's carbon
The GHG Protocol supplier-specific method attributes a supplier's cradle-to-gate emissions to you by your share of what they produce. The engine applies the right formula for each class, computes attributed emissions, and keeps the exact formula on every line for an assurer.
Live allocation calculator
Move any input. The allocation share and attributed emissions recompute instantly.
1.02 Mt = 1.7 Mt × (2,050 ÷ 3,417)
One formula per class, applied automatically
The class tag set in the sourcing book decides which denominator the engine uses. Nothing is chosen by hand at calculation time.
Your purchased volume over the estate or FPO's total output. Tea, coffee, salt, pulses, dairy at the farm.
Your spend over the converter's total revenue. Instant coffee, prepared foods, packaging.
Your freight over the carrier's total movement. Inbound and outbound distribution.
The math underneath every number
supplier emissions × allocation share
allocation share =
what you buy ÷ what they make
This single identity is the whole of supplier-specific Scope 3. Everything else (the class formulas above, the estimation methods, the data-quality scores) exists to supply the two terms on the right honestly. A captive estate sits near 100%. A shared converter sits low. The share is never assumed, it is measured against the supplier's output.
What the engine guarantees
Right formula, every line
Class tag selects the allocation formula. No manual choice at run time.
Formula preserved per line
The exact calculation is stored and shown in the audit trail for an assurer.
Recalculation on updates
A new harvest, a new certification or a fresh ledger re-runs allocation across the book.
No silent movement
Every line whose number changed is flagged. The delta is never hidden.
Estimation engine: the highest-quality number the data allows
Real supply chains have gaps. The engine answers one question for every supplier: given the data available, what is the best product-carbon estimate we can produce, and records the method, assumptions, confidence and date behind it. It is a decision engine, not a lookup table.
The estimation waterfall
The engine walks down from best data to weakest, stopping at the first method the supplier's data supports. Every step down is a lower-confidence estimate and a poorer PCF data-quality score.
The estimate is a placeholder, honestly scored. As primary farm data arrives, the line climbs the waterfall and the estimate is replaced, never overwritten silently. Today the book sits at a weighted 3.1, which is exactly what the pilot moves.
How the engine is built · six services in sequence
Each estimate flows through the same pipeline. Click a stage to see what it does.
Data availability checker
Before estimating anything, the engine catalogues what data the supplier already has (certification status, yield, throughput, energy, geography) and identifies the usable inputs.
Estimation method library
Each method declares its required inputs, applicable categories, expected confidence and PCF score. Select one to inspect it.
Measured figure is used directly, no estimation needed.
Supplier estimate view
What the sustainability team sees on a single estimated line.
Every estimate carries its explanation
The human-readable record written to each estimated line. What an auditor reads first.
Beyond compliance · what makes the engine useful
Method recommendation
Auto-picks the highest-quality applicable method per supplier.
Gap analysis
Highlights which missing data point would most improve quality.
Sensitivity analysis
Shows how the estimate moves under a different factor or method.
Bulk estimation & refresh
Applies methods consistently across thousands of farms; flags lines a new factor release affects.
Outreach triggers
Generates supplier data requests where low-quality estimates cluster.
How we'd phase the build
Phase 1 · defensible baseline
Data-availability checker, rules-based method selection, crop/process/land-use factors, versioned factor library, PCF scoring, transparent calculation trace across the sourcing book.
Phase 2 · operational maturity
Custom estimation rules per commodity, automated factor updates, book-wide gap analysis, bulk recalculation, supplier data-request and passport workflows.
Phase 3 · intelligent estimation
AI extraction from supplier reports and certification records, ML method recommendation, anomaly detection on outliers, predictive estimation, regen-scenario analysis.
Read the footprint every way it matters
The supplier footprint across every dimension a sustainability committee and a disclosure team ask for. Hover any metric for how it's derived. Illustrative
Supplier footprint by category
Tea and coffee dominate, as expected for a beverage-led book.
By sourcing region
Concentration in the plantation belts.
Procurement vs footprint, by stage
Where the spend sits versus where the carbon sits. The two don't line up.
Intensity vs procurement
Each bubble is a stream; size is attributed emissions. Top-right is the priority quadrant.
Supplier-footprint trajectory vs 2040 pathway
Measured baseline against the linear path a 2040 net-zero commitment implies. Illustrative
Build the disclosure, don't retype it
Pick a framework and the sections you need. Every figure is drawn live from the measured book (allocation formula, source and data-quality score attached) and assembles into an output you can generate and export. One baseline feeds SBTi FLAG, BRSR, EUDR, CDP and your retail customers.
Disclosure frameworks · create in one click
Expand any framework to preview the output live, drawn from the measured book. BRSR and SBTi FLAG readiness included.
Pick sections, preview live, export
Report sections
Toggle what's included. The preview updates live.
Data registry: why an auditor trusts these numbers
Every factor, dataset and computation profile in the workspace, version-pinned and reproducible. The same rails run under allocation and estimation. This part is the real product, not a mockup.
Datasets & emission factors Version-pinned
| Dataset | Coverage | Used for | Version |
|---|---|---|---|
| agri_lca_crop_efcradle-to-farmgate · by crop & region | Tea, coffee, pulses, sugar | Farm-stage emissions | v6 · 2025 |
| flag_landuseland-use & land-use-change factors | Global agri | SBTi FLAG accounting | GHGP Land 2024 |
| allocation_suppliervolume or spend over supplier output | 200 suppliers | Attributed emissions | rolling · seasonal |
| certification_registrytrustea · Rainforest Alliance · Farmforce | 2.5 lakh+ farms | Certification-linked activity | rolling |
| process_energy_efwithering · CTC · roasting · freeze-dry | Made-tea & coffee | Processing-stage emissions | v3 · 2025 |
| packaging_eflaminate · carton · PET · glass | All formats | Packaging Scope 3 | 2025 · v1.2 |
| eeio_spend_proxytCO2e per ₹ Cr spend | Indirect tail | Unmatched tail · score 5 | v3 · 2025 |
| ipcc_ar6_gwpgas conversion factors | All gases | Everything | AR6 |
Each factor carries its vintage. When a new agri-LCA release lands, the registry versions it and every affected line re-computes, with the delta highlighted.
The methods that run on these datasets
Allocation and estimation are the two engines that turn these version-pinned factors into product carbon footprints. They live here in the foundations. Open either to see it work.
Your share of each supplier's carbon: volume or spend over supplier output, applied per class, live.
The highest-quality estimate the data allows: a waterfall from primary down to spend, each scored.
Methodology · public computation profiles
The versioned rules allocation and estimation run on. Public, so an assurer can read exactly what produced each number.
Supplier-specific allocation allocation
Attributed emissions = supplier emissions × (what you buy ÷ what they make). Farm streams use volume over estate output; processed streams use spend over supplier revenue. Runs in the allocation engine.
Farm emissions · primary-first primary-first
Prefer measured farm data; fall back to certification-linked activity; then regional crop EF; then category average; then spend proxy. Every step is scored on the PCF 1–5 scale. This is the estimation waterfall.
FLAG land-use accounting what analytics runs on
Separates land-management and land-use-change emissions per the GHG Protocol Land Sector guidance, as SBTi FLAG requires. The trajectory and sensitivity views read from here.
PCF data-quality tiers, visible everywhere
Primary, verified
Measured farm or mill emissions, highest quality
Certification-linked
trustea, RA, Farmforce georeferenced data
Physical-activity estimate
Yield or throughput × crop / process EF
Category-average estimate
Commodity average per kg
Spend-based proxy
Procurement spend × EEIO factor
Why version-pin
A disclosure has to be reproducible years later. Pinning every dataset to a version means the same inputs always produce the same number, and when a factor updates, the change is explicit and the delta is flagged, never silent.
Your number, next to the ones that matter
On operational disclosure you are mid-pack. On supplier-level product carbon, the field is open: no Indian FMCG has a farm-to-gate baseline across its book, and you already own the farmer network to build one.
Operational disclosure score Carbon X-Ray
The X-Ray scores operational disclosure quality, not carbon volume. Tata Consumer is mid-pack: assured BRSR Core and carbon-neutral operations, but Scope 3 thin (6 of 15) and no validated SBTi target.
Supplier-PCF readiness Aug 2026
| Company | Farm data | SBTi FLAG | Book PCF |
|---|---|---|---|
| HUL | Regen pilots | Parent target | Partial |
| Nestlé India | Parent PCF | Parent | Partial |
| Britannia | Spend-based | None | No |
| Tata Consumer | 2.5 lakh+ farms | None | Open · your move |
You already reach the farmers through trustea, RA and Farmforce. Peers are modelling from spend. A farm-to-gate baseline is the reference the sector and the retailer read, and only you have the network to build it fast.
Everything the platform produces is an artifact
Source-linked, versioned outputs, not a black box. Each is traceable to the data and method behind it.
| Artifact | What it is | Format | Status |
|---|---|---|---|
| Supplier-footprint workbook | Every line, formula, score | XLSX | Live |
| Product carbon footprint pack | ISO 14067-aligned, per SKU | Live | |
| Supplier ledger (normalised) | Mapped to PCF schema | CSV | Live |
| Supplier carbon passport (estate) | Reusable, hand to the grower | B2B2B | |
| EUDR due-diligence statement | Geolocation + deforestation-free | DDS | Coffee |
| Audit trail | Every calc, dated & sourced | Log | Live |
How the platform runs, operationally
Version-pinned datasets, reproducible runs, data-quality carried on every line. The operating discipline an assurance partner asks about.
The pipeline
Ingest & map
Procurement ledger → PCF schema
Classify & tag
Stage sets the allocation formula
Allocate & estimate
Supplier-specific math + gap-filling
Review & score
Data quality per line
Disclose & refresh
Report, then re-run each harvest
The operating rhythm
Each harvest
Farm activity and certification deltas land; allocation refreshes on new output.
Quarterly
Versioned book close, supplier data requests, sustainability-committee pack.
Yearly
BRSR workbook, SBTi FLAG progress, CDP Climate & Forests, retailer PCF packs.
Everything runs on the same baseline. Year two is refresh, not rebuild.
One engine, every commodity, configured to your process
The rails that resolve the tea book extend to every raw material Tata Consumer sources, and the platform is configured to how procurement and sustainability already operate rather than the other way round.
Extend the supplier footprint to every commodity you buy
The allocation formula changes per stage; the workflow, data-quality scoring and disclosure do not.
Tea book
Assam, Nilgiris, Dooars, bought-leaf and Tetley global blends, allocated by volume over estate output. Live in this demo.
Coffee book
Plantation, curing and instant, with Farmforce geolocation carried into an EUDR-ready carbon declaration.
Salt & staples
Solar salt, pulses, besan and spices, from primary site data to category factors, all on one score.
Packaging & logistics
Laminate, carton, PET and glass, plus inbound and outbound freight, attributed and reduced on the same book.
Each commodity is a different use case: different data sources, approval chains and disclosures. We configure the workflow to your process, not the other way round.
Built to sit inside how you already operate
Native ERP & procurement integration
Connect securely to SAP, procurement and supplier-management systems to pull spend, volume and origin in real time. No manual ledger uploads once live.
Certification & farmer-network connectors
Pull trustea, Rainforest Alliance and Farmforce records directly, turning the sourcing programme you already run into carbon data, no double data-collection.
Power sustainable-sourcing programmes
Use the baseline to structure regen-ag incentives, supplier scorecards and low-carbon product claims, tracked against the same measured book.
Configurable workflows & approvals
Roles, maker-checker chains, entity hierarchies and disclosure frameworks configured to your organisation. The platform adapts to each commodity.
The measured book is the foundation. Integration and connectors turn it into a live control that shapes what you source next.
How this was built
What's real, what's illustrative, and why we demo it this way.
Disclosed · real & assured
Tata Consumer's operational emissions (S1 79,331, S2 87,327), the FY26 carbon-neutral Scope 1+2 milestone, RE 47%, disclosed Scope 3 of 198,328 t across 6 categories, the net-zero-2040 ambition, the 55% India-tea and 100% Tetley certification figures, the Tata Coffee–Farmforce EUDR programme, and the X-Ray rating of 63. All public, all sourced.
Illustrative · replaced in a pilot
The sourcing-book composition (₹12,520 Cr, 200 suppliers), every stream's procurement and emissions, the ≈4.5 Mt supplier-footprint estimate and its range, the allocation splits, the per-kg PCFs and the data-quality distribution. Illustrative throughout, replaced by your real procurement and farm data in a pilot.
Where the ≈4.5 Mt comes from
It is a transparent estimate, not a measured figure. It is anchored to peer disclosure: Britannia, at ₹19,152 Cr revenue against your ₹20,290 Cr, discloses 4.0 Mt of Scope 3, and HUL at 3× your revenue discloses 12.0 Mt. Your tea-and-coffee mix is more agriculture-intensive per rupee than biscuits, so a book footprint of 3.5 to 5.5 Mt is conservative. We show the mid-point, labelled illustrative, and a pilot replaces it with your supplier data. The honesty is the point: the number is defensible, the range is stated, and the pilot's value is better data, not a bigger headline.
We'd rather show you an honest simulation than a pretend product. The engine is real; the unmeasured number is real.
One measured supply chain, then one small ask
You've seen the platform import, allocate, estimate, analyse and disclose. Here's the path and the one thing we'd ask to leave with.
What this means, seat by seat
The farm-to-gate baseline net-zero-2040 and SBTi FLAG need, and the desk does not yet have.
A carbon number on every supplier, turning sourcing into a lever, not a line item.
A verified low-carbon claim retailers and EU customers can put on the buying sheet.
The defensible baseline that value-chain commitment currently lacks.
The path, if this is right
Workspace seeded
From public FY26 disclosures
Tea supplier pilot
Your ledger, one region
Coffee & EUDR
Farmforce geolocation to carbon
Book-wide
Full sourcing + supplier passports
The ask
Not a programme, and not a commitment today. Give us one region's real procurement and certification data for the tea book, under NDA, and we'll replace the illustrative figures in this workspace with your actual baseline. Read-only, one commodity, one owner. Prepared for the sustainability desk to open, poke, and hand upward.