• From €1,250/month
  • Automate supplier data onboarding
  • Test it with your own product feed

ESG & Sustainability

Sustainability-data that's ready for every requirement. of it.

More and more channels, customers and regulations ask for sustainability data at product level. We bring that information together, structure it and check it, so you can report and publish from one reliable base.
Woman in a sustainable landscape with wind turbines
ESG data validated
Ready for CSRD reporting
CO₂ footprint per productVerified source: supplier

Organisations getting sustainability data ready for new requirements

ALL SPORT GROUPANWBAzertyde BijenkorfDozonHarmanHolland OTOI Love SpeelgoediiyamaMasimoPinkcubePrimera

ONE BASE FOR EVIDENCE AND REPORTING

What does structured sustainability data deliver?

Report-ready

Use the same data in more places

Structure sustainability data once and reuse it for reports, channels and internal checks.

Substantiated

Evidence stays linked to the product

Bring materials, certificates, origin and other evidence together in one structure.

Scalable

New requirements don't need a new base

Extend your data model when regulations or channel requirements change, without starting over every time.

Sound familiar?

Sustainability gets stuck on fragmented data.

The information often already exists, but is scattered across suppliers, files and teams.

ESG data is everywhere

Material data, weights, certificates and origin information are scattered across different files and systems.

Every supplier delivers differently

Fields, definitions and evidence vary by supplier, product group and source.

Every new request becomes a project

Teams collect and check the same information again for reports, customers or channels.

New requirements keep coming

Without a scalable data model, every change creates additional manual work.

How we approach it

Sustainability data as part of your product model.

01 · Requirements

Translate requirements into concrete product data

Determine for each product group which data, definitions and evidence are needed.

  • Materials and origin
  • Packaging and weight
  • Certificates and evidence
02 · Suppliers

Let suppliers submit data in their existing format

Bring different formats and sources together and validate centrally.

  • Fields by category
  • Source mapping
  • Flagging missing data
03 · Use

Reuse the same data

Use one reliable base for reporting, DPP and commercial channels.

  • EPR obligations
  • Digital Product Passport
  • Content per channel

How customers get sustainability data under control.

These organisations bring product data, supplier information and evidence together in one reliable base.

Wehkamp logo

Managing material and packaging data centrally across multiple brands and large product volumes.

  • EPR per brand
  • 2.5M+ SKUs
View the case
iiyama logo

Structuring sustainability and product information for different requirements and use cases.

  • Data at product level
  • Evidence and product information together
de Bijenkorf logo

Managing product information and evidence centrally for a wide, ever-changing assortment.

  • Wide assortment
  • One central structure
View the case

Technical architecture

How sustainability data flows from source to reporting and sales channels.

  1. 01 · Define

    Determine what data is needed

    Translate requirements into concrete fields and evidence per product group.

    Technical

    • Requirement matrix
    • Category rules
    • Evidence types

    AI bonus

    • Recognises relevant requirements for each product group.
  2. 02 · Collect

    Collect data where it originates

    Let suppliers submit data and evidence via existing flows.

    Technical

    • Supplier forms
    • Feeds
    • Document intake

    AI bonus

    • Recognises fields and values in submitted documents.
  3. 03 · Map

    Bring different definitions together

    Translate supplier fields, units and values into one product model.

    Technical

    • Field mapping
    • Unit mapping
    • Taxonomy

    AI bonus

    • Suggests semantic mappings and value translations.
  4. 04 · Validate

    Check both data and evidence

    Test completeness, validity and substantiation before use.

    Technical

    • Required fields
    • Evidence links
    • Validity dates

    AI bonus

    • Flags missing, inconsistent and conflicting data.
  5. 05 · Calculate

    Derive reporting values

    Calculate the required values from validated source data and fixed rules.

    Technical

    • Derived values
    • Conversion rules
    • Aggregations

    AI bonus

    • Flags unusual outcomes for review.
  6. 06 · Report

    Use the same base for reporting

    Make reports reproducible from the same validated product data.

    Technical

    • EPR exports
    • Audit trail
    • Reporting views

    AI bonus

    • Summarises deviations and missing data.
  7. 07 · Publish

    Share only what the channel needs

    Publish sustainability data to product passports, webshops and other channels.

    Technical

    • DPP
    • Webshop
    • APIs

    AI bonus

    • Checks completeness per channel before publication.
  8. 08 · Let’s talk

    Where is sustainability data still scattered for you?

    We look at where data, evidence and reporting currently come together, and where standardisation or automation makes the difference.

    • 30 minutes, straight to the point
    • Not a standard demo
    • Specific to your data flow
    Book a call

Which sustainability data is still missing today?

We pick one product group and show which data and evidence are needed, where the gaps are and how to structure it.

  • See which data and evidence are needed
  • Discover where information is still missing
  • Get a concrete starting data structure

Frequently asked questions.

Can't find your question? Get in touch