World Class Wood Supply
The platform for supply chains of the future
Efficiency through digitalization and developed methods
By using digital technology to improve and optimize processes and workflows in the forestry supply chain, we can streamline operations. It is about replacing manual or inefficient methods with digital solutions that increase productivity, reduce costs, and improve quality. World Class Wood Supply drives development to elevate efficiency of the forestry supply chain to a new level.
Digital twin of the supply chain
A virtual twin spanning the entire forestry supply chain from purchasing to customer deliveries enables ways of working and results far beyond today's norms.
Sales and Operations Planning (S&OP)
Customer demand is matched with the availability of wood and resources in a rolling and structured planning process. Imbalances are identified and addressed well in advance by joint planning and transparent information.
Wood flow and inventory planning
To avoid silos and sub-optimization in each subprocess, wood flow and inventory planning must be carried out from a holistic perspective, meaning that the entire wood supply chain needs to be planned 'end-to-end' in a transparent planning tool.
Resource planning
Transparent resource planning with appropriate system support creates foresight and leads to cost-effective solutions based on a proactive dialogue with suppliers and contractors.
Plan and monitor emissions
Being able to include the organization's CO2 emissions in planning and follow-up is a necessity in order to both optimize the operations and create transparent reporting.
Financial planning
It is crucial to plan and analyze costs and working capital for different scenarios and action alternatives, together with the planning of wood flows and inventory.
Optimize the wood flow with data-driven decisions
Optimizing wood flow by making data-driven decisions combines using data from the forest value chain and advanced analytics to streamline the flow and management of wood and resources. By applying optimization, AI and machine learning, patterns can be analyzed and used in decision-making to improve the quality of plans and minimize deviations. This enables faster and more precise decisions, leading to increased productivity and sustainability throughout the value chain.