The ProcessMiner blog

FeaturedPulp & paper8 min read

Tissue mill cuts chemistry costs 25%

Real-time quality prediction and autonomous chemistry control let one mill trim additive dosage while holding spec — six figures of recurring savings, no capital project required.

Read the case study

Case studies

Quantified customer outcomes

Tissue & towel mill cuts chemistry use 25%

Predictive dosing held wet-strength quality on target while reducing chemical additive consumption by a quarter across grades/SKUs.

Pulp & paper5 min read

Board mill lowers chemistry dosage 18%

Continuous quality prediction and centerlining trimmed additive dosage 18% without sacrificing sheet strength.

Pulp & paper4 min read

Board mill optimizes Kymene consumption 25%

Targeted wet-strength resin control reduced Kymene use 25% while keeping quality inside spec.

Pulp & paper5 min read

Board producer reduces chemistry consumption 14%

A 14% reduction in chemical spend, achieved by acting on predicted quality rather than lab lag.

Pulp & paper4 min read

Injection molder cuts scrap rate 25%

A plastic injection-molding manufacturer used deep-learning quality prediction to reduce scrap by 25%.

Plastics5 min read

First autonomous chemistry control on a tissue machine

A milestone deployment: closed-loop chemistry control running live on a tissue line — the origin of ProcessMiner's physical-AI approach.

Pulp & paper7 min read

Data science

Technical deep dives — our backlink engine

Data science

LSTM autoencoder for anomaly detection in Keras

A widely cited walkthrough of building an LSTM autoencoder for rare-event detection in multivariate time series.

Technical12 min read

Data science

Sequence embedding for clustering and classification

Turning variable-length sequences into fixed embeddings for downstream clustering and classification tasks.

Technical10 min read

Data science

Estimating non-linear correlation in R

A practical method for quantifying non-linear relationships between process variables.

Technical8 min read

Wastewater

Industrial wastewater

Polymer dosing in wastewater treatment: getting it right

Why precise, data-driven polymer dosing is the difference between compliant, cost-efficient dewatering and runaway chemical spend.

Is sludge cake density hurting your bottom line?

Small gains in cake dryness compound into major savings on hauling, disposal, and polymer. Here's how to find them.

Article5 min read

AI-driven process and quality optimization in wastewater treatment

How continuous quality prediction and control help modern treatment facilities hold quality and compliance under variable load.

Article7 min read

Driving innovation and compliance in wastewater treatment

Refreshed for today's regulatory landscape — PFAS, biosolids, and the case for predictive compliance.

Pulp & paper

Our founding vertical

Pulp & paper

The future of pulp & paper manufacturing

Where the industry is heading as AI, autonomy, and sustainability pressure reshape the mill floor.

Article7 min read

AI in manufacturing

Cross-industry education

AI in manufacturing

Variability reduction: the metric that decides margin

Why tightening process quality variation — the core of Intelligent Centerlining — is the most reliable lever on manufacturing margin.

Article5 min read

AI in manufacturing

Bridging the skilled-labor gap in manufacturing

As experienced operators retire, AI captures and scales their judgment — helping newer teams run the line with confidence.

AI in manufacturing

The evolution of statistical process monitoring

From SPC control charts to machine-learning process monitoring — what changed, and what it means for quality teams.

Article8 min read

Plastics

Injection molding

Plastics

Deep learning in plastics manufacturing: cutting scrap and defects

How predictive quality models help injection molders and extruders catch defects before they become scrap.