Many companies preparing for the Digital Product Passport focus on their internal systems. But in manufacturing and distribution, a large part of the required data comes from outside the company – from suppliers.
This data may describe material content, the origin of raw materials, certificates, declarations of conformity, restricted substances, environmental information, and component documentation.
If these product details are sent as a PDF by email, stored in a folder, kept in an Excel file without one clear format, or placed in a portal with a different layout, the company loses control over accuracy, publication, and updates. This makes DPP readiness much harder.
For furniture manufacturers and distributors, this often creates a false sense of security. The data may exist, but the key question is whether it can be quickly found, verified, connected to a specific product, and shared with the right partners.
Who is this article for?
For manufacturers, importers, and distributors who:
- cooperate with many suppliers of materials, components, semi-finished products, or finished goods,
- handle large catalogs with many variants and product versions,
- are preparing for DPP, ESG, audits, or stricter requirements from key B2B partners,
- want to reduce disorder in documentation, certificates, and declarations,
- want to organize product data in a scalable way, without increasing manual workload.
Why is supplier data so difficult to manage?
The Digital Product Passport (DPP) is a digital source of product information covering the entire product life cycle. It stores and shares data on product composition, origin, compliance, durability, repairability, and recycling possibilities. As indicated by the European Commission, the Digital Product Passport should be accessible to consumers, businesses, and competent public authorities.
At first glance, collecting supplier data seems straightforward. You ask for the required information, receive the documents, and use them in your process.
However, real-life data management is rarely that simple.
First
Managing supplier data is challenging because information arrives in different formats, from different sources, and with different levels of quality. A certificate may come as a PDF, a product table as an Excel file, technical details in an email, or supporting files through a shared folder.
Second
At the same time, one product can be built from many materials and components: wood, boards, foam, fabrics, metal, plastics, adhesives, varnishes, coatings, and fasteners. Each group may depend on a different supplier.
Third
The documents themselves are often inconsistent. Some describe one component, some cover an entire collection, some apply only to a single batch, and some do not clearly state their scope.
Language, market, version, expiry date, and level of detail all matter when deciding whether the information is ready to be used in a product passport.
Problem: data comes in, but control is missing
Many manufacturers and distributors say, “We have the data from our suppliers.”
But after a while, it often turns out that the data is not as useful as expected:
- certificates are stored in email attachments,
- ingredient or composition data is trapped in PDF documents,
- expiry dates are not entered into the system,
- documents are available only in English, despite sales in markets such as Germany and France,
- the declaration exists, but it only refers to a material, not to the products using it,
- the supplier changed a component, but the product manager did not receive the update,
- sales teams continue to distribute outdated documents to partners.
So the data is there.
But it is not organized, controlled, or maintained in a systematic way.
This is an important difference to understand.
Even more importantly:
1️⃣ The issue will keep coming back – during DPP implementation and later, whenever suppliers, materials, certificates, variants, or markets change.
2️⃣ Without a structured model for supplier collaboration, the Digital Product Passport will be difficult to maintain in the long term, not only to implement.
Preparing supplier data for the Digital Product Passport
Although regulators have not yet published a complete set of data requirements for every product group, the expected direction is clear. Digital Product Passports are designed to improve transparency across the product lifecycle by providing access to information on sourcing, materials, sustainability, compliance, usage, and end-of-life handling.
Companies that begin structuring these datasets today will be better prepared for future DPP obligations while strengthening their capabilities in ESG reporting, B2B commerce, exports, and customer service.
Table 1: Supplier data categories relevant to DPP compliance in the furniture industry
| Data area | Examples | Why it matters |
|---|---|---|
| Supplier identification | Supplier name, registered address, country, identification number, contact person | Confirms the source of the data and supports accountability |
| Materials and components | Timber, wood-based panels, textiles, foams, metals, adhesives, varnishes, coatings | Provides information about the materials used and their role in the final product |
| Origin of materials | Country of origin, production facility, batch number, supplier declaration | Supports traceability across the supply chain |
| Certificates and declarations | Material certificates, declarations of conformity, laboratory reports, approvals, applicable standards, document validity scope | Helps meet regulatory, audit, and export requirements |
| Restricted substances | Information on substances of concern, safety data sheets | Reduces the risk of non-compliance |
| Environmental data | Recycled content, carbon footprint, LCA/EPD data, renewable raw materials | Supports DPP requirements, ESG communication, and B2B transparency |
| Instructions and use | Care instructions, use restrictions, safety information | Improves customer service and helps reduce returns or complaints |
| Repair and spare parts | Component compatibility, spare part availability, service and maintenance instructions | Extends product lifespan and limits waste |
| Product end-of-life | Disassembly methods, furniture recycling, disposal guidance, materials requiring special attention | Helps close material loops and supports circular economy compliance |
| Packaging | Packaging material, weight, recyclability, number of parcels | Supports efficient logistics, regulatory reporting, and environmental performance tracking |
An upholstered chair is a simple example.
For sales purposes, it may be one catalogue entry. For a Digital Product Passport, it is a complete data record covering:
- frame,
- wood or metal,
- foam,
- fabric,
- varnish,
- glue,
- fasteners,
- packaging,
- compliance documents,
- instructions for use,
- product’s potential for repair,
- disassembly and recycling.
What happens when a company lacks a structured supplier data process?
A missing process rarely creates visible problems from day one. The business continues to operate, products remain available, and teams keep serving customers. However, the lack of structure creates hidden costs across the organization.
Typical consequences include:
- long delays in preparing products for publication,
- repetitive manual work across different files,
- confusion caused by multiple document versions,
- doubts about the latest certificate,
- incomplete product information in e-commerce and marketplace listings,
- barriers to entering or serving selected export markets,
- slower response times for B2B partners,
- increased risk of incorrect documentation,
- difficulty preparing accurate data for audits,
- lack of connection between supplier data and individual product variants.
In B2B sales, this becomes a problem very quickly. Large trading partners expect accurate, up-to-date information in a structured format. When a manufacturer or distributor cannot provide a complete data set on time, it weakens their credibility and limits their ability to act quickly.
What enables better cooperation between furniture companies and suppliers?
It is not about gathering more files from suppliers.
It is about connecting supplier data to a controlled process.
Your company needs:
a) a precise list of data requirements for suppliers,
b) a unified format for data exchange that prevents manual rework, comparison, and matching,
c) standardized dictionaries and naming structures,
d) accurate data mapping across products, variants, components, and batches,
e) completeness checks and validation rules,
f) document versioning,
g) expiry date tracking with automated alerts,
h) approval workflow that shows who fills in the data, who verifies it, and who approves it for use,
i) data owners responsible for maintaining the quality and accuracy of selected product information,
j) integrations with PIM, ERP, PLM, DAM, or other key systems,
k) the capability to publish data to sales channels, B2B partners, and the future DPP.

How to prepare for DPP by collecting supplier data
Step 1. Map suppliers. Prioritize key data
Focus on these questions:
Which data is necessary to pass audits or make products available for sale?
Which suppliers are critical for your product portfolio?
Which materials appear most often across your product range?
Which components affect compliance, safety, or sustainability?
Which documents are most frequently required by B2B partners?
Which parts of the process still depend on manual work?
With this approach, you can set the right priorities and focus your efforts where they matter most.
Step 2. Standardize supplier data collection. Define a “supplier data pack”
It’s a clear list of information you need from each supplier.
You can collect it through a form, template, supplier portal, or integrated data process. The important thing is to use the same structure every time, rather than starting with a blank email.
Make it easy to understand and easy to repeat. Define the required fields, format, units, documents, naming rules, and how suppliers should send updates.
Step 3. Make supplier data work inside your product model
Supplier data should be connected directly to the product structure. It should not remain in the system as a standalone document with no clear relationship to products, components, variants, batches, or markets.
Example: a fabric certificate needs to be linked to the supplier, the exact fabric, colors, products using that fabric, and the markets where the certificate is accepted. Once connected to the data model, it becomes meaningful product information.
For furniture brands, this is critical. Products are often available in many variants and configurations, and are built from many shared materials. If one fabric is used across 120 variants, any change to that fabric should update all linked products at once. Manual corrections create unnecessary work and increase the chance of data inconsistencies.
Step 4. Establish data quality rules and approval steps
Suppliers should have a clear definition of what counts as “complete data.”
Example:
- a certificate without expiry dates is not validated,
- a document without a material reference is not accepted,
- values without units are treated as incorrect,
- the material name must be taken from the master dictionary,
- environmental product data must include a clear source,
- documents must define the relevant market or scope of application.
While this may sound procedural, it significantly improves cooperation. Suppliers know what is required, internal teams know what they can accept, and the system can automatically detect and block data that does not meet the agreed standards.
Plus, supplier data should not move directly to publication. An approval workflow defines who enriches the data, who verifies it, who gives final approval, and who is responsible for future updates.
With this structure, the company lowers the risk of errors, improves the speed of information flow, and ensures that only trusted data reaches sales channels and documentation.
Clear responsibility across teams also supports faster reactions to change and reduces the risk of internal misunderstandings.
Step 5. Plan for regular updates
Products change over time. A supplier may adjust the material composition.
A new certificate may appear.
A document may expire.
The product may enter a new market or include a new component.
A DPP must be ready for this.
Digital Product Passport cannot be a fixed, static file. It should follow the product across its digital lifecycle and show accurate, up-to-date information about the product placed on the EU market or exported to the EU. For this reason, supplier data should be actively managed.
You should define which changes require notification, how quickly suppliers must report them, and who is responsible for managing the updates.
A Product Information Management system can serve as the control layer for product data. It gathers, validates, links, and distributes product information to DPP, B2B systems, online stores, and external partners.
How should furniture companies prepare for the EU Digital Product Passport?
The EU Digital Product Passport is no longer a distant regulatory topic for the furniture sector. As furniture has been identified as a priority product group in the ESPR plan for 2025–2030, companies should begin assessing their readiness today.
Supplier data will play a central role in this process. Even if suppliers are not immediately integrated into your systems, their data will be necessary to create reliable, complete, and compliant product information.
Manufacturers, importers, and distributors should therefore check the quality of their own data and make sure suppliers can provide the right information regularly, clearly, and in a format that systems can use.
Usually, the biggest problem is not a lack of data. It is that the data is stored in many places, looks different in each system, and is not updated in a consistent way.
At Tandemite, we guide manufacturers and distributors through this transformation step by step: from audit and product data modeling to PIM implementation as a stable layer for data governance, integrations, and process automation.
We keep the process practical. The audit is a safe starting point. You do not need to begin with a big investment or replace your entire IT setup. You start with understanding the real situation.
Need a better way to collect supplier data and keep documents, certificates, and declarations organized? Let’s design a process that supports accuracy, compliance, and growth.
FAQ
Will suppliers have to provide more information than they do now?
Yes. The role of supplier data will grow, especially in areas related to origin, composition, compliance, environmental impact, repairability, and recycling. The detailed requirements for furniture under EU regulations will be set out in delegated acts, but the direction is clear: products must become more transparent and better documented throughout their lifecycle.
Can all documents simply be stored in one folder?
Not really. While this is better than searching through emails, it does not create a reliable system. Documents must be assigned to specific products, variants, components, markets, languages, expiry dates, and owners. Without this context, it is hard to manage it properly in DPP and sales processes.
Can PIM automatically organize supplier data?
Not alone. PIM is a powerful tool, but its value depends on the setup behind it. A well-designed product data model, clear workflows, validation rules, and integrations are what make the system truly effective.
Do we need a DPP readiness audit if we already have an ERP?
Yes. ERP supports daily operations, but it usually does not include all the product data required for the Digital Product Passport. It manages information such as stock, logistics, purchases, finance, prices, and product identifiers. DPP requires a much wider data set: technical details, material information, environmental data, product documentation, translations, market content, and service data. Since this information is often stored outside ERP, a DPP readiness audit helps check whether your company is truly prepared.
Do distributors also need a DPP audit?
Yes. Although distributors do not manufacture the furniture, they still depend on verified data. A DPP audit helps ensure accurate product communication, safer sales processes, better B2B cooperation, and readiness for EU regulations.






