Textiles & Apparel
Automate the data busywork and cover your full assortment, so your team spends its time on decisions.
Trusted by fashion and retail brands
Inputs arrive fragmented across ERP exports, supplier sheets, partial composition data, and certifications buried in PDFs. The team spends weeks assembling it into a processable shape before a single impact number appears.
Product-by-product tools cover a handful of hero styles and leave thousands of SKUs as rough guesses, with no scalable path to the full, board- and CSRD-ready organizational footprint.
By the time footprints are calculated, the orders are already placed. Sustainability can flag problems after the fact but rarely shapes what actually gets sourced.
No templates
Spirefly accepts data as it arrives: non-standard ERP exports, supplier sheets in any format, composition data at whatever completeness you have. An AI layer maps columns, flags unit inconsistencies, and writes a transformation plan in plain language.
Your team approves it, then deterministic code executes it. Every step is logged and reproducible.
Spirefly always uses the most precise data available for each product, then falls back to the next-best source wherever that data isn't there yet. Primary impact data measured at source is used where you have it; product LCAs, physical-flow data, and spend-based estimates fill in behind it, so every product gets a footprint and every number is as accurate as your current data allows.
As more primary data arrives it replaces the fallbacks, and nothing is re-processed from scratch. In practice, that cuts data-processing time by roughly tenfold.
Carbon + Nature
Spirefly measures carbon and nature from one dataset, so water, land, pollution, and biodiversity are scored alongside emissions and aligned to SBTi FLAG, TNFD, and SBTN. Because nature impact depends on where materials are grown and processed, Spirefly also models likely countries of production from trade-flow data, weighted by sourcing volume. Where you already have more granular location or primary origin data, it uses that and models only the gaps.
Scenarios
Scenario modelling is live in the platform. Before orders go out, model the levers that actually move your footprint: shifting to preferred materials, cleaner dyeing and finishing, renewable energy at your mills, and cutting overproduction. Scenarios run on actual purchase volumes and return carbon, water, pollution, land, biodiversity, and materials at once, so trade-offs are visible before you commit.
Customer proof
“Spirefly gave us a concrete list of substances that need stricter limits, what to change them to, and why. I could update our policy in an afternoon.”
Renée Donker
YOEK
“Spirefly clearly understands the sustainability space. It took me by the hand to refine my KPIs and suggest concrete improvements I could trust.”
Zsuzsa Kozma
Termeer Group
“Spirefly understands my business, my data and the frameworks. I can do a quantitative water assessment, put the results in context of our business, and explore relevant actions in one go.”
Milou America
Senior Specialist Sustainability, HEMA
Full assortment
LCA-based tools go product by product, so you get detailed studies on 20 hero styles and rough guesses for the other 2,000. Spirefly covers all products in every run, and results navigate from organization level down to individual product and material. You can see that cotton drives 78% of your water footprint, drill into which categories cause it, and model what changes if you shift sourcing.
HEMA covers more than 40,000 products with a small team, twice a year. Bring your assortment data as it is.
Yes. Spend data is enough for a first footprint with Spirefly. You add composition data where you have it, and each addition sharpens the number. The platform shows you exactly where better data would make the biggest difference.
No. Spirefly works with your existing emission factor databases, so sources like ecoinvent for materials can run in the same platform without migration.
No, they work together. Spirefly is the measurement layer and traceability tools are the data collection layer. Verified origin data from your traceability initiative slots directly into Spirefly and replaces model estimates, and Spirefly tells you where to focus that investment first.
They slot in as primary data and replace database estimates for those products. Spirefly extends the same methodology across your full assortment, so your hero-product LCAs and your full-range footprint become one coherent, comparable picture.
For EUDR legal due diligence, verified primary data is required, and origin models alone are not sufficient as compliance proof. Where you have verified origin data, Spirefly uses it. Where you don't, its models show where deforestation risk is concentrated, so you know which suppliers and commodities to prioritize for verified tracing first.
That is what Spirefly Scenarios is built for. You model material alternatives on actual purchase volumes before orders go out, across all impact dimensions at once, so trade-offs are visible before commitment.
Yes, Spirefly is built for small teams. Automation handles the data pre-processing while your team reviews and acts on the findings. HEMA covers more than 40,000 products with a small sustainability team and runs measurement twice a year.
Spirefly provides data and calculations aligned to CSRD scope 1 to 3 organizational footprints, SBTi including FLAG with land-use and fossil emissions tracked separately, TNFD, and SBTN, with carbon and nature from the same dataset. Spirefly is the measurement layer: it produces the inputs your team uses to complete each disclosure.
Spirefly does more than carbon accounting. It measures carbon and nature in one dataset, so water, land, pollution, and biodiversity are scored alongside emissions across your full assortment. A carbon footprint is one output among several Spirefly measures, which is why fashion teams use Spirefly to meet climate and nature requirements together.
Spirefly uses life cycle assessment methodology, but unlike product-by-product LCA software it runs across your entire assortment in every cycle. Your existing product LCAs slot in as primary data, and the same method extends to the thousands of SKUs a manual LCA never reaches, from organization level down to material.
Spirefly gives you the assessment data you need for CSRD, aligned to its requirements across scope 1 to 3 with carbon and nature from one dataset. It is not a complete reporting suite: Spirefly produces the underlying footprints and evidence, and your team uses them to compile the disclosure. The same applies to the other frameworks it aligns to, including SBTi FLAG, TNFD, and SBTN.
Once your data is gathered, companies are up and running with Spirefly within one week. The onboarding session itself takes 30 minutes.
Send it to our team and we'll reply by email.
