ºÚÁÏÍø

News

Finnish process industry driving automation of information exchange

Digital Business Ecosystem aims for rapid integration throughout the entire chain of suppliers and partners.

Over 50 Finnish companies have formed a cooperation forum, the Digital Business Ecosystem, aiming to improve digital exchange of information throughout the chain of suppliers and partners.

Big industry like UPM, StoraEnso, and Fortum will lead the work together with their main suppliers. They will jointly move towards standardized integration of business transactions and collaboration processes. The integration solution, DBE Core, can be widely used in the areas of sales, sourcing, procurement, logistics and transaction based financing. DBE Core is based on global established standards.

Huge savings from smart information exchange

Lappeenranta University of Technology (LUT) estimates savings of 2-4 % of the company’s turnover if they would digitalize and automate the business process transaction with their partners.  Dr. Kari Korpela from LUT states that an additional 1.5% savings could be achieved when using accurate data to improve efficiency on company’s internal processes. These figures are estimates from a study conducted among 40 Finnish companies in the process industry.

– The Finnish industry will rearrange entire supply chains from production all the way to consumption. The open standards will help to establish new industry ecosystem for adoption of new technologies across different verticals. This will create savings and opportunities for new value network services to optimize operations effectively across Digital Business Ecosystem, explains Dr. Korpela. 

Ecosystem invites companies – big & small – across industries to join

– The next step is to establish the integration with the entire SME supply network. For this we need value-add service providers. Operators should offer fast integration, ICT companies should develop cost-effective cloud solutions and financing industry should offer working capital through transaction banking services. Our intention is to grow the ecosystem across industries and we welcome you to join us, says Dr. Korpela.

For more information

Kari Korpela, LUT kari.korpela@lut.fi +358406841417

Timo Juvonen, THTH ry, timo.juvonen@ththry.org, +358 400 659274

Digitalization of the supply chain is one of the focus areas in the research project . The DDI consortium studies the implications of digitalization to the Finnish society through the lens of industry. The consortium consists of Aalto University, ETLA, Lappeenranta University of Technology, University of Turku and VTT. The consortium is led by Professor Martti Mäntylä from Aalto University. 

  • Updated:
  • Published:
Share
URL copied!

Read more news

Kaksi ihmistä seisoo portaikon yläpäässä keskittyneenä katsomaan jotain toisen henkilön matkapuhelimesta.
Cooperation, Studies, University Published:

FITech Network University’s ICT project ends in summer 2026 – collaboration within the network continues in other FITech projects

As FITech Network University's ICT project ends in July, there will be changes to FITech’s course offering.
The image shows the rough surface of a copper cathode.
Cooperation Published:

Metal industry needs doctoral-level expertise – Aalto University and Boliden are educating top experts at the heart of smelters

The energy transition and urbanization are accelerating demand for metals, and the continuous development of processing methods is increasing the need for top experts.
Two persons holding doctor's hats
Cooperation, Studies, University Published:

Thinking of doing a doctorate? Join us on 21 April

Join us on 21 April 2026 to hear firsthand experiences from researchers across Europe and explore what a career in research at Aalto could look like.


Left: person wearing a black jacket and pearl necklace. Right: molecular structure illustration against a cosmic background.
Research & Art Published:

Decoding the chemistry of space with machine learning

Astronomers can detect complex chemical fingerprints in stardust – but many of them remain unidentified. The SpaceML project combines machine learning and computational chemistry to simulate how molecules form and evolve in space, helping researchers decode these signals.