EU legislation and buyer pressure have shifted carbon reporting from a brand responsibility to a factory responsibility. Here is what it means for factories in South Asia — and what you need to do first.
In 2023, a large Bangladesh garment factory received a compliance questionnaire from one of its European buyers. Among the standard quality questions was a new one: "What is the CO2 equivalent per unit produced at your facility?" The factory owner, who had been supplying this buyer for eleven years, had no answer. The buyer gave them six months. They lost the order in four.
This is no longer an edge case. Buyers who supply to EU retailers — H&M, Zara, Primark, Marks & Spencer — are under regulatory pressure to report Scope 3 emissions, which means the emissions that happen at their supplier factories. They cannot comply with their own regulators without data from you. And if you cannot provide it, they will find a factory that can.
This article is written from the factory side, not the brand side. It explains what the regulations actually require, what "carbon per garment" means in practical factory terms, and — critically — what you need to do first before any carbon calculation is possible.
Three regulatory changes, all converging at once, are responsible for this shift.
The CSRD, which began phasing in for large EU companies in 2024 and extends to smaller companies through 2026-2028, requires companies to report on their full value chain emissions — including those that occur at their suppliers' facilities. These are called Scope 3 emissions. When H&M buys garments from your factory, your factory's carbon output becomes their Scope 3 liability. They are legally required to disclose it. They cannot disclose what they do not know. So they ask you.
France's affichage environnemental law, which came into force for textile and footwear products in October 2025, requires environmental scores to be displayed on textile products sold in France. The score includes carbon footprint, water consumption, and impact on biodiversity. The calculation requires factory-level production data — specifically the energy used to produce each garment. French retailers cannot calculate this score without data from manufacturing partners.
California's AB405, signed in 2025, requires large fashion brands selling in California to disclose Scope 3 supply chain emissions and set reduction targets. Brands that source from South Asia and sell in California — which includes nearly every major international apparel brand — must collect emissions data from their factory partners or face penalties.
The compliance chain works like this: EU and US regulators pressure brands. Brands pressure their sourcing teams. Sourcing teams pressure factories. Factories that cannot provide data get delisted. Factories that can provide data get preferred vendor status and, increasingly, price premiums.
The term gets used loosely. From a factory's perspective, it means the total greenhouse gas emissions (measured in kg of CO2 equivalent, or CO2e) attributable to producing one unit of a garment at your facility. To calculate it, you need to understand three emission categories.
| Emission Scope | What It Covers for a Garment Factory | Data Source |
|---|---|---|
| Scope 1 (Direct) | Fuel burned on-site: diesel generators, gas boilers, company vehicles | Fuel purchase invoices, generator logs |
| Scope 2 (Purchased energy) | Electricity purchased from the grid to power your sewing machines, lights, HVAC | Electricity bills + national grid emission factor |
| Scope 3 (Value chain) | Fabric transportation to factory, worker commute, business travel, packaging waste | Vendor invoices, transport distances, worker surveys |
For most sewing-only factories in South Asia, Scope 2 (purchased electricity) dominates. Your sewing machines, overlock machines, and building lighting are running on grid electricity all day. The carbon content of that electricity depends on your country's energy mix. Nepal's grid is hydropower-heavy (low emission factor). Bangladesh's grid is more fossil-fuel dependent (higher emission factor). This matters significantly in the final calculation.
The carbon per garment calculation is conceptually simple:
Carbon per garment = Total monthly factory emissions (kg CO2e) ÷ Total garments produced that month
You can refine this further by style, lot, or production line if you have the data — which is where a production tracking system becomes essential.
In practice, getting the denominator right — the accurate count of garments produced — is where most factories fall short. If your production count is based on end-of-day supervisor estimates written in a notebook, your carbon-per-garment calculation will be as inaccurate as those estimates.
Before you can approach any carbon calculation tool, you need four data inputs from your factory operations. Here is what each one is and where it comes from:
The total number of finished garments produced in a given period, broken down by style and lot. This is the denominator in every carbon-per-garment calculation. It must come from a verified production tracking system — not from end-of-day supervisor estimates. QR-based bundle scanning gives you an audit trail: every bundle scanned out of finishing is a confirmed completed unit.
How many hours did your overlock machines run? Your single-needle machines? Your buttonhole machines? Machine running time is the primary driver of electricity consumption on a sewing floor. Production records that capture start and end times per operation — from QR scan-in and scan-out — give you the raw data to estimate machine-hours per garment.
Total electricity consumed (kWh) per month from your electricity bills, plus any diesel or gas used. This is separate hardware — you need energy meters at the distribution board level or sub-circuit level for per-machine accuracy. This is the one input that your production tracking system alone cannot provide; it requires an energy monitoring system or careful manual logging from your meters.
Total labor hours worked, which feeds into both productivity normalization (carbon per standard minute of work) and, if needed, Scope 3 commute estimates. Biometric attendance systems connected to your ERP give you accurate shift-level data per operator.
Many factories make the mistake of trying to jump directly to carbon reporting tools before their production data is reliable. Carbon calculation software is only as accurate as the inputs you give it. If your production counts are estimates, your carbon-per-garment output will be wrong — and sophisticated buyers will know.
The practical approach is two sequential steps:
Implement QR-based bundle tracking so every bundle scanned through production creates a verified count. Connect biometric attendance to your records. The output: accurate pieces-produced data by style, lot, and date — the denominator for all carbon calculations.
Feed your verified production data into a dedicated carbon calculation platform. These tools take your output count, your energy consumption data, your location (for grid emission factor), and your supply chain inputs to produce a CO2e per garment figure that will hold up to buyer scrutiny.
Why this order matters: A factory with digitized production tracking can answer a buyer's carbon questionnaire within days by feeding existing data into a carbon tool. A factory without it faces months of work to reconstruct production history, with results that buyers will not trust because they cannot see an audit trail.
To be direct: Scan ERP is a production tracking and workforce management system. It does not calculate carbon emissions. But it provides the production output data — the verified garment counts, machine-operation records, and attendance data — that the following tools require as inputs:
| Tool | What It Does | What It Needs From You |
|---|---|---|
| Carbonfact | Full lifecycle carbon calculator for fashion brands and their suppliers; produces per-SKU carbon data | Production volumes, material inputs, energy data, supplier location |
| Greenstitch | Sustainability analytics platform built for apparel manufacturers; benchmarks against industry peers | Production output by style, energy consumption, labor hours |
| Seedling (by FashionForGood) | Free sustainability assessment tool for smaller manufacturers; basic carbon footprint output | Production quantities, energy bills, transport details |
| Higg FEM (Textile Exchange) | Facility Environmental Module — the industry-standard self-assessment used by most major buyers | Annual production data, energy and water consumption, waste records |
Of these, the Higg FEM is the one most factories will encounter first, because major buyers (Gap, PVH, VF Corporation, H&M Group) have required Higg FEM submissions from their suppliers for several years. The Higg FEM is an annual self-assessment, not a real-time tool, but completing it requires the same underlying production data that feeds any carbon calculator.
This is the lowest-tech starting point. Record your monthly electricity consumption in kWh from your utility bills. This single number, divided by your garment output, gives you a rough kWh-per-garment figure that you can convert to CO2e using your country's grid emission factor. Nepal's average grid emission factor is approximately 0.04 kg CO2e per kWh (hydro-dominant). Bangladesh's is approximately 0.58 kg CO2e per kWh (gas-dominant). The difference is enormous.
Stop relying on end-of-day notebook tallies. Implement QR-based bundle tracking or at minimum a digital finishing count system. You need to know, per lot and per style: how many pieces were produced, over how many days, on which line. This is the denominator in every carbon formula.
Register your facility at higg.org and complete the Facility Environmental Module. It is free. It asks for your energy, water, and waste data from the previous 12 months. Completing it is the fastest way to understand exactly what data gaps you have — and it produces a verified report that most major buyers will accept.
Once you know your total facility consumption, the next level is per-line or per-section monitoring. A clamp meter on the distribution board serving your sewing lines costs under $200 and gives you the data to apportion energy consumption by production line — necessary for per-style carbon calculations when you run multiple styles on different lines simultaneously.
With verified output counts and energy data in hand, you can now use Carbonfact, Greenstitch, or any carbon calculation tool to produce a defensible carbon-per-garment figure. Provide this proactively to buyers before they ask. Factories that send carbon data with their quality certificates — without being asked — are the factories buyers trust.
The factories that start building their production data infrastructure now will have a two-to-three year head start on those that wait until a buyer deadline forces the issue. That head start translates to three concrete advantages.
First, historical data. Carbon calculation tools are more accurate when you have 12-24 months of production history. Factories that start now will have that history when CSRD requirements cascade down to smaller brands in 2027-2028. Factories that wait will be starting from zero.
Second, negotiating leverage. When a buyer asks for carbon data and you can provide it — complete, audited, and at style level — you are not just compliant. You are preferable. Buyers pay premiums for suppliers who reduce their compliance burden.
Third, internal efficiency gains. The production data you collect for carbon reporting also tells you which styles are most energy-intensive to produce. That is costing information you can use in CMT negotiations and production planning.
A note on greenwashing risk: Do not claim a carbon footprint number you cannot back up with data. Buyers increasingly ask for methodology documentation, not just a number. If you cannot show the audit trail — production volumes, energy bills, calculation methodology — the number is worse than useless. It creates liability. Start with honest, approximate data that you can defend, and refine it over time.
Scan ERP gives you accurate, QR-verified production output counts, machine-operation records, and attendance data — the foundation that carbon calculation tools require. You cannot calculate carbon per garment without knowing exactly how many garments you produced.
Ask on WhatsAppCarbon reporting is coming to your factory whether you prepare for it or not. The buyers who are asking today are the early movers. The regulations that make it mandatory for all buyers are on a three-to-five year timeline. The factories that will be ready are the ones that start building their production data infrastructure now — not because it is labelled "carbon tracking," but because accurate production data is simply good factory management.
Santosh Rijal is the founder of Scan ERP, a garment manufacturing ERP system built for factory floor operations in South Asia. He works directly with production teams, sewing supervisors, and factory owners across Nepal's garment manufacturing sector.