Supplier data intelligence
The data layerfor industrialsuppliers.
Suppliers already have the data — in bills, registers, photos and WhatsApp messages. Emissio collects it through familiar channels, structures it automatically, keeps the evidence attached, and makes it reusable wherever compliance asks.
Supplier data
Verified
132
Needs review
31
Incomplete
21
Evidence coverage
79%
| Supplier | Completeness | Status | Updated |
|---|---|---|---|
Pravat Fabricators Adityapur | 94% | Verified | 2h ago |
Empire Auto Jamshedpur | 78% | Needs review | 5h ago |
Eastern Engineering Howrah | 91% | Verified | Yesterday |
Adityapur Components Gamharia | 62% | Missing data | Yesterday |
Kalinga Metal Works Cuttack | 71% | Processing | 3 days ago |
Shree Rolling Mills Raipur | 88% | Submitted | 4 days ago |
Odhisha Steel Bhubaneswar | 97% | Verified | 1 week ago |
Apex Industrials Kolkata | 74% | Needs review | 1 week ago |
Meghalaya Mining Shillong | 82% | Processing | 2 weeks ago |
Ranchi Castings Ranchi | 55% | Missing data | 2 weeks ago |
Surya Equipment Nagpur | 99% | Verified | 3 weeks ago |
Deccan Heavy Hyderabad | 93% | Verified | 1 month ago |
Latest activity
Electricity bill received
WhatsApp · Empire Auto · 2 min ago
48,260 kWh extracted
OCR · confidence 94% · 8 min ago
Evidence matched to July record
electricity_bill_july.pdf · 14 min ago
Fuel data request completed
Pravat Fabricators · 22 min ago
Emissions recalculated
Activity × factor · v3 · 41 min ago
Built against the standards your buyers cite
- CBAM
- CCTS
- GHG Protocol
- ISO 14064
- Industrial suppliers
- Exporters
- Manufacturing networks
- ESG teams
- Trade associations
- Enterprise procurement
Everything around your compliance data, in one workspace
Emissio does not just return a number. It captures the message, the document and the context around every value, so the record survives the question that comes after it.
Supplier inbox
Capture
WhatsApp, voice notes, photos, PDFs and spreadsheets. Suppliers send data the way they already work — no new portal to learn.
Assisted extraction
“Extract the electricity consumption from this supplier's July bill.”
electricity_bill_july.pdf
WhatsApp upload · 02 Aug 2026 · #EL-2026-0721
Electricity consumption
48,260 kWh
Billing period
July 2026
Meter
HT-2 · 11 kV
Supplier
Empire Auto
- AI extraction
- Structured activity data
- Validation
- Deterministic calculation
- Evidence-backed result
Structure
OCR and extraction turn documents into activity data. Validation and normalisation catch the gaps before anything is calculated.
EU buyer request
6 / 7 complete
- Electricity
- Production
- Fuel
- Transport
- Raw materials
- Certificates
- Freight distance
Reuse
One structured record answers a CBAM package, a Scope 3 dataset, a customer questionnaire and an audit — without recollection.
Workspace
Every angle of your supplier data, in one place
Intake, extraction, completeness, evidence and buyer requests sit side by side — the same surfaces an operations team works in every day.
Assisted extraction, deterministic maths
AI reads the document and proposes values. The calculation itself stays a fixed formula against a versioned emission factor.
Assisted extraction
“Extract the electricity consumption from this supplier's July bill.”
electricity_bill_july.pdf
WhatsApp upload · 02 Aug 2026 · #EL-2026-0721
Electricity consumption
48,260 kWh
Billing period
July 2026
Meter
HT-2 · 11 kV
Supplier
Empire Auto
- AI extraction
- Structured activity data
- Validation
- Deterministic calculation
- Evidence-backed result
Evidence-backed result
Every number carries its inputs, factor source and the file it came from.
Electricity emissions
Activity
48,260 kWh
Emission factor
0.71 kgCO₂e/kWh
Calculated emissions
34.26 tCO₂e
CEA v20 · grid average
electricity_bill_july.pdf
Supplier completeness
Which activity categories are in, which are thin, and which have not arrived at all.
Data completeness
Pravat Fabricators
- Electricity
- Fuel
- Production
- Raw materials
- Transport
- Evidence
Buyer data requests
Incoming requests map onto the records you already hold, so only the gaps get chased.
EU buyer request
6 / 7 complete
- Electricity
- Production
- Fuel
- Transport
- Raw materials
- Certificates
- Freight distance
Supplier inbox
Capture happens where suppliers already are — attachments, photos and voice notes included.
Supplier inbox
Compliance intelligence
Ask what is missing for a submission and get the specific gaps, not a dashboard to interpret.
Compliance intelligence
What data is missing for this supplier's July submission?
Analysing 41 records across 3 sources…
Recommended action: Request production and logistics data over WhatsApp.
Live intake
Every arrival, extraction and match is logged as it happens.
Activity
Electricity bill received
WhatsApp · Empire Auto
48,260 kWh extracted
OCR · confidence 94%
Evidence matched to July record
electricity_bill_july.pdf
Fuel data request completed
Pravat Fabricators
Emissions recalculated
Activity × factor · v3
Inputs and outputs
Familiar channels in. Reporting formats out. Same underlying record.
Connections
Connected
Email intake
Connected
Tally
Connected
ERP export
Syncing
CBAM package
XML
Scope 3 dataset
CSV
Buyer questionnaire
Auto-fill
Audit evidence
ZIP
Suggested actions
Emissions by month
- Electricity42%
- Fuel27%
- Raw materials18%
- Transport9%
- Waste4%
Automation
Monthly collection that runs itself
Requests go out, responses come back, values are extracted and matched to evidence, and the calculation runs only once the inputs pass validation. Follow-ups are automatic.
Monthly supplier data request
YES · Validate → calculate
NO · Reminder → WhatsApp follow-up
Execution · Run #42
- Request sent
- Supplier response received
- Data extracted
- Evidence matched
- Emissions calculated
- Buyer notified
Done
0/6
Failed
0
Runtime
—
Supplier intelligence
See where a portfolio actually stands
Completeness, evidence coverage and emissions across every supplier — with the underlying records one click away.
Supplier data
Verified
132
Needs review
31
Incomplete
21
Evidence coverage
79%
| Supplier | Completeness | Status | Updated |
|---|---|---|---|
Pravat Fabricators Adityapur | 94% | Verified | 2h ago |
Empire Auto Jamshedpur | 78% | Needs review | 5h ago |
Eastern Engineering Howrah | 91% | Verified | Yesterday |
Adityapur Components Gamharia | 62% | Missing data | Yesterday |
Kalinga Metal Works Cuttack | 71% | Processing | 3 days ago |
Shree Rolling Mills Raipur | 88% | Submitted | 4 days ago |
Odhisha Steel Bhubaneswar | 97% | Verified | 1 week ago |
Apex Industrials Kolkata | 74% | Needs review | 1 week ago |
Meghalaya Mining Shillong | 82% | Processing | 2 weeks ago |
Ranchi Castings Ranchi | 55% | Missing data | 2 weeks ago |
Surya Equipment Nagpur | 99% | Verified | 3 weeks ago |
Deccan Heavy Hyderabad | 93% | Verified | 1 month ago |
Latest activity
Electricity bill received
WhatsApp · Empire Auto · 2 min ago
48,260 kWh extracted
OCR · confidence 94% · 8 min ago
Evidence matched to July record
electricity_bill_july.pdf · 14 min ago
Fuel data request completed
Pravat Fabricators · 22 min ago
Emissions recalculated
Activity × factor · v3 · 41 min ago
Emissions by month
- Electricity42%
- Fuel27%
- Raw materials18%
- Transport9%
- Waste4%
Why teams move beyond spreadsheets and scattered requests
A workbook can hold a number. It cannot show where the number came from, whether the supplier ever confirmed it, or which request already asked for it.
Spreadsheets + email
- Manual entry from bills and registers
- The same request sent again every quarter
- Evidence living in someone's inbox
- Disconnected files across suppliers
- Data that cannot be reused for the next obligation
- Numbers that go stale between reporting cycles
Emissio
- WhatsApp-native collection from the source
- Automated follow-ups until the record is complete
- Evidence attached to every extracted value
- One structured record per supplier
- Reuse across CBAM, Scope 3 and buyer questionnaires
- Deterministic calculations with versioned factors
Assisted extraction
“Extract the electricity consumption from this supplier's July bill.”
electricity_bill_july.pdf
WhatsApp upload · 02 Aug 2026 · #EL-2026-0721
Electricity consumption
48,260 kWh
Billing period
July 2026
Meter
HT-2 · 11 kV
Supplier
Empire Auto
- AI extraction
- Structured activity data
- Validation
- Deterministic calculation
- Evidence-backed result
Demo data · example suppliers · Q3 2026
Built with the people who have to produce the data
Placeholder quotes reserved for pilot participants. Nothing here is a customer claim until a named participant approves it.
Reserved for an operations manager on sending the bill directly instead of filling another spreadsheet.
Reserved for a compliance officer on answering a buyer's data request from records already collected.
Reserved for a plant supervisor on logging fuel and production data from the shop floor by phone.
Reserved for a procurement lead on supplier data arriving complete instead of after four reminders.
Reserved for a sustainability analyst on reusing one dataset across CBAM and Scope 3 requests.
Reserved for an export manager on evidence being attached before the auditor asks for it.
Reserved for a finance lead on the effort saved rebuilding the emissions workbook each quarter.
Reserved for a cluster association on onboarding smaller units without a digital baseline.
Reserved for a quality manager on keeping supplier declarations current across a changing vendor list.
Placeholder content — awaiting approved pilot quotes.
FAQs
Answers to what suppliers and exporters ask us first. Anything else, write to us and we'll respond directly.
General
Emissio is a data layer for industrial suppliers. It collects operational data through the channels suppliers already use, structures it into reusable records, and keeps the source evidence attached to every value.
Supplier-side operations and compliance teams, and the exporters and buyers who depend on supplier data being complete, current and defensible.
A request goes out over WhatsApp or email, the supplier replies with a bill, photo, voice note or spreadsheet, and Emissio extracts the values and files them against the right record.
Data
Yes. WhatsApp is a first-class intake channel: attachments, photos and voice notes are all accepted and routed to the right supplier record.
A photo of a meter reading, an invoice or a handwritten register is enough to start. Emissio extracts what it can and flags what still needs confirmation.
Every extracted value keeps a link to the file it came from, when it arrived, who sent it and the extraction confidence, so the record can be reviewed later.
Compliance
Yes. Structured activity data and emission factors produce a reporting-ready package, with the underlying evidence bundled alongside it.
That is the point of the data layer. One collected record can serve CBAM, Scope 3, buyer questionnaires and internal reporting without asking the supplier again.
Calculations are deterministic — activity data multiplied by a versioned emission factor. AI assists with extraction, never with the arithmetic, and each result keeps its inputs and factor version.
Security
Records are stored against your organisation only, with access scoped to the users you invite and a log of who changed what.
Only the people you grant access to. Buyers see what a supplier chooses to share for a given request.
Yes. Records, calculations and the underlying evidence can be exported at any time in standard file formats or read through the API.
Automate your carbon accounting.
Collect data once, structure it automatically, and reuse the evidence wherever compliance requires it.