Pulp & Paper
The next big AI steps into the
Pulp & Paper industry
Real-time analysis delivers proactive process control.
OPTIMIZE USAGE OF RAW MATERIALS
REDUCE PRODUCTION COSTS
REDUCE QUALITY VARIATION
IMPROVE PRODUCTIVITY
Addressing Top Pulp & Paper Challenges With Artificial Intelligence
Put your data to work and solve complex pulp and paper manufacturing challenges.
Predict Quality Issues
Identify Variability
Drive Optimum State
Smart Manufacturing and Autonomous Control for Pulp and Paper Manufacturing
Critical to optimizing the performance of plant operations and reducing quality variations in pulp and paper manufacturing is proactive and accurate process control. Smart technology is being adopted by the pulp, paper, and packaging industries; this digital transformation in manufacturing reduces the consumption of raw materials, and process variability, drives down costs, increases throughput, and gains a competitive edge with customers.
The ProcessMiner AI-enabled platform delivers process improvement recommendations and optimal control parameters in real-time to your pulp and paper production line. Through our predictive machine learning and artificial intelligence systems, online recommendations are sent for autonomous proactive control. Our platform ensures reductions in cost, scrap, and defects commonly encountered in pulp and paper manufacturing processes.
Real-time Pulp & Paper Quality Improvement Recommendations
Recognize material return on investment and capture sustainability improvements.
Actual ProcessMiner™ Business Cases
Packaging
Savings Per Ton
Savings Per Machine (Per Year)
Variable Cost Reduction
%
Tissue
Savings Per Ton
Savings Per Machine (Per Year)
Variable Cost Reduction
%