• The client wanted to understand the trends and drivers for the demand of certain product segments to allothem to dynamically adjust prices and maximize revenues.
  • Before, prices were set by the country salespeople based on their domain knowledge, but without a systematic understanding of the patterns impacting prices.


  • We started the project by conducting a thorough exploration and analysis of the internal and external data impacting demand, sales, order intake, and prices. The phase also included many discussions with the salespeople​.
  • We then applied and tested several AI-modeling approaches and selected the best-performing model.
  • Once the AI-model was tested, we productized all the data pipelines and the AI model into the client’s environment and operative systems.


Salespeople can access and test out the forecasting results via a scenario tool as follows: ​forecasting (2-7-month-forecasts) and ​performance (forecasts compared with realized prices).

Business Value

Sales, Pricing, Inventory Management.


Forestry Company

The client is a leading producer of wood-based bioproducts, such as pulp, sawn timber, biochemicals and bioenergy. Their products are known for their high quality, which is based on the unique characteristics of Nordic wood. ​

Energy, Resources & Environment, Industrial Goods

Data Analytics, Data Training, Industrial

Sales, Pricing, Inventory Management

Meet our experts

Ulla Kruhse-Lehtonen
Ulla Kruhse-Lehtonen
CEO of DAIN Studios Finland, Co-Founder