Skip navigation
AI I Træ Og Møbelindustrien Design Is Change Lifestyle And Design Cluster

AI in the Wood and Furniture Industry

Focus on strengthening the wood and furniture sector’s understanding of AI and making the technology concrete, relevant, and applicable for businesses.

Purpose

Visionary Innovation and Digital Transformation

 

The purpose of the project was to strengthen the wood and furniture sector’s understanding of artificial intelligence (AI) and to make the technology concrete, applicable, and strategically relevant for companies of all sizes.

At the same time, the project aimed to give the industry the confidence, inspiration, and competencies needed to begin – or accelerate – their own AI journey.

The aim was to
  • Build new knowledge within the industry
  • Create practice-oriented examples from leading companies
  • Develop a shared language and a realistic perspective on AI’s potentials and limitations
  • Strengthen the connection between industry, research, and education
Outcome

What Did We Learn from the AI Conference?

The AI conference provided a clear picture of where the industry stands – and where its potential lies. Three live polls and more than 20 company and research cases showed that AI is already beginning to transform operations, strategy, and design in the wood and furniture industry.

1. The industry is moving—but major competence gaps remain

The live polls showed that:

  • 65% of participants are experimenting with AI
  • 18% use AI strategically in parts of the business
  • The biggest barrier is lack of knowledge and skills (49%)
  • The second-biggest barrier is lack of time and resources (23%)

2. AI in operations: quick wins and measurable improvements

Cases from LTP Group, BoConcept, Gabriel, Ege Carpets, and the AI Competence Pact showed that:

  • Process automation delivers time savings of 10% and more
  • AI agents can test entire customer journeys and free up hundreds of hours
  • Computer vision improves quality and reduces production errors
  • Prompt-based development makes digital prototypes much faster to build


3. AI in circularity: data makes loops economically viable

NORNORM, e.Circular, and Complir demonstrated how AI strengthens the industry’s circular ambitions:

  • Condition assessment and computer vision reduce unnecessary disposal
  • AI calculates the CO₂ impact per loop and documents environmental savings
  • Predictive maintenance extends product lifespan and reduces costs
  • Compliance and DPP requirements can only be met at the right pace with automated data


4. AI in design: more ideas, faster iteration, new roles

Designers, architects, and researchers from DKA and the industry showed how AI is becoming a creative collaborator:

  • Visualizations, concepts, and variations are created in minutes—not hours
  • AI enables new material studies and 3D workflows that previously required specialists
  • Experiments with accessibility, spatial analysis, and material analysis open new professional possibilities
  • The designer’s role is changing—but strengthening: judgment, ethics, and direction become even more important


5. Overall learning: the industry is ready

Across operations, circularity, and design, the project revealed three clear conclusions:

  • The industry has the courage and appetite—interest is high, and experiments have begun.
  • The competence gap is real—leaders and employees are asking for concrete, practice-oriented tools.
  • AI is becoming a competitive factor—in efficiency, documentation, design, and circularity.
AI I Træ Og Møbelindustrien Oplæg

Foto: Nana Reimers

AI I Træ Og Møbelindustrien Seminardeltagere

Foto: Nana Reimers

AI I Træ Og Møbelindustrien Panelsamtale 3

Foto: Nana Reimers

Why the Project Was Launched

The project identified a clear challenge in the industry:

  • AI’s possibilities were significant—but unclear

  • Documentation requirements, circularity demands, and new business models place increasing pressure on data

  • Companies requested concrete examples rather than technological abstractions

  • There was a need to create a shared space where leaders, experts, researchers, and employees could learn together and see the technology applied in practice

Activities and Results

The project’s main activity was the conference AI in the Wood and Furniture Industry, held at the Royal Danish Academy as part of the annual Furniture Seminar 2025.

The programme covered three tracks:

1. AI in Operations

Purpose: to demonstrate how AI creates efficiency, fewer errors, higher quality, and new workflows.

Selected cases from the project:

  • LTP Group: 50 AI licences, training models, 10% time savings in the first loop
  • BoConcept: AI agent testing 65 websites; global video scaling in 19 languages
  • Ege Carpets: computer vision for quality checks and AI-based product selector
  • Gabriel: prompt-based software development without code

Key learning: Operations + AI delivers rapid, measurable impact when companies start small and go deep.

2. AI in Circularity

Purpose: to make circular loops economically and operationally scalable through data and AI.

Selected cases:

  • NORNORM: AI for condition assessment, logistics, loops, and CO₂ calculations
  • e.Circular: AI for maintenance, repair, redesign, and lifespan extension
  • Complir: automated compliance and documentation (ESPR, DPP, chemicals)

Key learning: AI is a necessary building block for scaling circular business models in practice.


3. AI in Innovation and Design

Purpose: to explore how AI is reshaping creative processes, materials, and design roles.

Selected perspectives:

  • Henning Larsen: AI as a sparring partner in large architectural projects
  • Mads Hindhede Svanegaard, Industrial Designers: AI as a tool for rapid iterations and visual studies
  • Research from the Royal Danish Academy: ethics, quality, creativity, accessibility analysis, 3D workflows
  • Startups: Bundle Studio, HÆMP (biomaterials and circular design)

Key learning: The designer’s role is changing—but not diminishing. AI enables speed, variation, critical sparring, and new material possibilities. 

Participants

The project was carried out in collaboration between:

Lifestyle and Design Cluster (LDC) – project management, expert content, recruitment, knowledge collection

The Royal Danish Academy (DKA) – event execution, researchers, students, academic presentations

Wood and furniture companies – cases, presentations, panel contributions

Startups and tech providers – practical AI solutions

Educational institutions – competence and role mapping

What are the next steps for the industry – and how can LDC support you?

1. AI Startup Support for Companies

We help you identify:

  • low-hanging AI opportunities
  • concrete tasks that can be automated
  • relevance in your operations, design, customer journeys, or documentation


2. AI Network for the Industry

Join professional sessions, case insights, and upskilling activities.

3. Company Programmes

1:1 sparring, workshops, KPIs, and a roadmap for your AI journey.

4. Bridging Industry with Education and Research

The project showed how essential this connection is – and we connect you with relevant research, educators, and talent.

Do you want to take the next step with AI?

Plaese contact Lifestyle and Design Cluster – we help you get started – right where it makes the most sense for your company.

Sharing

Funding and Knowledge Partners

Virksomhedsudvikling Danmark Logo
Medfinansieret Af Den Europæiske Union Logo
Traefonden
Tuuf