Continuous dyeing
FacilityTurkey facility
Turkey
2.37kg CO₂e
Climate changeLowest impact- Renewable energy
- 17.97%
- Energy intensity
- 7.37 MJ/kg
- Water intensity
- 118.40 L/kg
Supplier data that shows what really happened.
Collect facility data and evidence on a recurring basis, resolve data-quality issues with suppliers, and turn approved records into inputs your impact calculations can use.
Talk to our teamThe data differenceSample data · same process · three facilities
Source-connectedTürkiyeUtility bills + productionIndiaEnergy + water recordsBangladeshInvoices + facility output
Carbon Trail AI analysisThe same process varies with energy, water and the local electricity and heat mix.
Process comparison3 facilities · Same dyeing process · 1 kg output
Impact categoryClimate change
Continuous dyeing
FacilityIndia facility
India
2.96kg CO₂e
Climate changeSecond lowest- Renewable energy
- 7.50%
- Energy intensity
- 13.22 MJ/kg
- Water intensity
- 144.30 L/kg
Continuous dyeing
FacilityBangladesh facility
Bangladesh
3.17kg CO₂e
Climate changeHighest impact- Renewable energy
- 0.00%
- Energy intensity
- 6.49 MJ/kg
- Water intensity
- 167.80 L/kg
Carbon Trail AI analysis
Compared processes
All three facilities use the same continuous dyeing process, but both climate impact and water intensity vary. The differences point to energy amount, energy source, the local electricity and heat mix, and the volume of water used per kilogram.
What explains the difference
TurkeyLowest climate impact and water intensity, using 118.40 L/kg alongside the highest renewable-energy share.
IndiaUses 25.90 L/kg more water than Turkey and has the highest energy intensity in the comparison.
BangladeshHighest water intensity at 167.80 L/kg—49.40 L/kg above Turkey—with no renewable-energy share reported.
- Turkey2.37
- India2.96
- Bangladesh3.17
kg CO₂e
- Turkey118.40
- India144.30
- Bangladesh167.80
L/kg
Recurring collection
Schedule supplier requests and keep each reporting cycle visible.
Source-connected
Retain the files and evidence behind facility activity data.
Facility-specific
Compare processes using location, energy, water and production context.
Reviewable quality
Flag missing or unusual values for suppliers and internal teams to resolve.
Trusted by fashion and retail teams
Run collection as a living workflow—not an annual spreadsheet chase.
Schedule recurring requests, see which facilities have responded and keep the next action clear for both your team and every supplier.
Supplier data campaignSeptember facility activity · Sample data
Reporting periodSeptember 2026
Requested4 facilities
Current state1 ready · 3 active
Evidence coverage68%
FacilityRequestDueStatus
Meet suppliers where their data already lives.
Upload spreadsheets, PDF bills and operational records instead of forcing every facility into a new template. Carbon Trail structures the useful fields and keeps each value connected to its source.
- Extract activity data from existing supplier documents
- Translate and normalize records for review
- Retain the original evidence beside the structured value
Sample data
Electricity statementMira Textile Mill · August 2026
12 pagesStructured facility recordValues proposed for review
4 fields foundElectricity consumption462,840 kWhUtility bill · 12 pages
MatchedProduction volume151,240 kgMonthly production file
MatchedNatural gas61,380 m³Invoice · translated
ReviewRenewable electricity17.97%Energy declaration
Evidence linkedTurn a flagged value into a resolved record.
Data-quality checks surface the issue in context. Your team and the facility can review the value, attach evidence and keep the correction trail visible.
Facility data reviewShakti Processing · September 2026 · Sample data
1 item needs reviewSee where primary evidence is strong—and where assumptions remain.
Track coverage by facility, process and data category so teams can focus supplier engagement where better evidence will improve the calculation.
Primary data coverageSupplier network · Current collection
Sample dataPrimary evidenceApproved proxyMissing
Collect once. Keep the evidence useful downstream.
Approved supplier records remain connected to the calculations and decisions that depend on them.
Governed inputPrimary supplier data
Facility · Process · Period · Evidence
Product LCA
Use process and facility evidence in product-specific footprint calculations.
Latest approved correction connectedCarbon accounting
Strengthen purchased-goods and supplier emissions with primary activity data.
Latest approved correction connectedReduction planning
Compare operational drivers and investigate where supplier action matters most.
Latest approved correction connectedPrimary supplier data, clearly explained
What primary supplier data can Carbon Trail collect?
Teams can request facility energy, fuel, water, production, process and supporting evidence data, alongside supplier and facility information. The exact collection can be configured for the reporting or calculation workflow.
How can suppliers provide their data?
Suppliers can respond through scheduled requests and provide spreadsheets, PDF bills and other existing records. Carbon Trail can extract and structure relevant values while retaining the source context for review.
How does Carbon Trail validate supplier submissions?
The platform checks completeness and flags unusual or inconsistent values for review. Suppliers can respond to feedback and provide supporting evidence before a record is approved for downstream use.
Can we map suppliers and facilities across tiers?
Yes. Supplier and facility records can be uploaded and mapped across the supply chain, including the relationships needed to connect facilities, processes and products.
Where is approved supplier data used?
Governed supplier data can support product LCA, Scope 3 carbon accounting, facility comparison, hotspot analysis and reduction planning across connected Carbon Trail workflows.
Make better supplier evidence part of every calculation.
See how Carbon Trail can help your team collect, review and use facility data across product footprints, carbon accounting and reduction planning.