Forecasting demand for construction products

The ability to predict product consumption accurately enables construction product producers and resellers to make their business more profitable. When reliable preliminary data on consumption exists, manufacturers can focus their resources more effectively, make better selections with regard to product development and investments and redirect their marketing efforts accordingly. Accurate forecasting of demand for products also allows timely matching of production volumes with demand.

Forecasting production of construction sub-sectors

We forecast the production of construction sub-sectors the same way as production of construction products. Construction output forecasts enable companies or organisations to understand the overall development of their sub-sector and assess their position in the markets.
According to the traditional breakdown of construction, e.g. architectural and engineering activities or building services can be considered sub-sectors, or a certain construction package such as construction of façades, roof renovation or construction machinery work, can be considered a sub-sector.

Accurate and sophisticated forecasting models provide accurate forecasts.

Our forecasts on demand for construction products are based on monitoring of the operating environment and tested and effective forecasting models whose development started in the 1970’s at VTT Technical Research Centre of Finland. The models take into account all key factors related to construction and demand for construction products. For instance, they enable us to determine the demand for a product in the coming year on a quarterly basis or how demand and the competitive situation will develop in the long-term.

All of our demand forecasts are based on hundreds of construction forecasts

We have decades of research data on the demand for various construction products in different construction projects which allows us to make highly accurate forecasts. We build each construction-product forecast based on hundreds of construction-sector forecasts. For example, we can make forecasts for the sub-groups of a certain construction product used for different purposes.

The more accurate the forecasts used by construction-product manufacturers in determining and directing their operations, the better choices they can.