Modelling for forest operation improvement

In Issue45 by FIEA

Through a combination of predictive algorithms, prescriptive optimization-based modelling, and a live operational planning system, artificial intelligence (AI) can enable continuous improvement throughout the forestry supply chain and provide real competitive advantage in fast-changing markets.

Global industries are benefiting from a confluence of improved data acquisition and management platforms and advancements in artificial intelligence (AI) technology. For the forest industry, this provides an exciting and transformational opportunity.

As more data comes in from systems at many points in the supply chain, forest companies can mine this information for valuable insights into their operations and use it to improve their planning processes and assumptions by learning from what is actually happening in the field. This is where predictive analytics and prescriptive modeling can work together to provide continuous improvement in forest planning and allow forest companies to make faster, smarter and more precise decisions based on continuously updated data.

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