The global pulp and paper industry is facing mounting pressure from weak demand, overcapacity, volatile fibre and energy costs, and increasing global competition. According to a recent analysis by McKinsey & Company, traditional cost-reduction programs are no longer sufficient to maintain competitiveness, prompting leading producers to adopt AI-powered, cross-functional optimization strategies known as “site sprints.”

Industry Faces Structural Reset

The report highlights several challenges reshaping the sector:

• Persistent overcapacity across paper and packaging grades
• Rising fibre costs in Europe and North America
• Energy price volatility driven by geopolitical uncertainty
• Slowing demand growth following the post-pandemic period
• Increased competition from lower-cost producers in Latin America and Southeast Asia

These pressures have compressed margins and reduced the effectiveness of traditional initiatives such as procurement optimization, lean manufacturing, and energy-efficiency programs.

Fibre and Energy Remain the Largest Cost Drivers

Across pulp and paper operations, the largest cost categories include:

• Fibre: 25%–70% of total production costs
• Energy: 10%–25%
• Chemicals: 8%–25%
• Logistics: 10%–15%
• Fixed costs: 15%–25% at full utilization

As mill utilization rates decline, fixed costs become an even larger burden, further pressuring profitability.

What Are Site Sprints?

McKinsey describes site sprints as rapid, cross-functional interventions that bring together experts from:

• Operations
• Procurement
• Energy management
• Data science
• Advanced analytics

Rather than optimizing individual cost categories separately, site sprints focus on improving the total production system and identifying the cost-optimal operating point for each mill.

AI Expands Optimization Opportunities

Artificial intelligence and generative AI are increasingly being deployed across pulp and paper operations.

Key applications include:

Fibre Optimization

AI models help mills optimize fibre recipes, improve wood yield, and reduce raw material consumption while maintaining product quality.

Manufacturing Excellence

Advanced analytics identify fibre losses, downtime causes, process variability, and opportunities to improve machine performance.

Energy Optimization

AI supports dynamic management of steam and power systems, enabling mills to respond to electricity market conditions and reduce overall energy costs.

Procurement Optimization

Data-driven procurement strategies allow mills to optimize chemical formulations, sourcing decisions, and supplier management.

Results Show Significant Savings

McKinsey cited a global pulp and paper producer that implemented more than 1,000 improvement initiatives through site sprints.

Reported outcomes included:

• Mill-level savings ranging from 8% to nearly 20%
• Several hundred million dollars in total savings
• Reduced fibre consumption
• Lower energy use
• Improved operational performance
• Enhanced profitability across multiple facilities

The company has since embedded site sprints into its operating model and now conducts multiple optimization programs annually.

Outlook: System Optimization Becomes Competitive Advantage

As global pulp and paper markets remain challenged by oversupply and cost inflation, companies are increasingly shifting from isolated efficiency projects to integrated system-wide optimization.

The report concludes that mills capable of combining AI, advanced analytics, energy management, procurement excellence, and manufacturing optimization will be better positioned to improve margins and remain competitive in a lower-growth environment. Future developments, including AI-enabled automation and robotics, could further transform mill operations over the coming decade.

Source: McKinsey & Company

Last Updated on 23/06/2026 by Jota Machinery