Predict production failures weeks in advance, accurately forecast demand, and minimize quality losses with industry-specific machine learning models. Our models, achieving 92% prediction accuracy in manufacturing, energy, and logistics sectors, integrate seamlessly with your existing ERP and MES systems.
Predictive analytics uses machine learning algorithms that learn patterns from historical data to forecast future events, demands, or failures. Unlike traditional analysis, the model processes millions of data points simultaneously and generates predictions with high accuracy. Corius understands the data structure of your industry and develops models tailored to your business, integrating them with your existing ERP or MES systems.
ANALYZE YOUR DATAML models customized to the critical needs of manufacturing, energy, logistics, and chemical sectors. Not generic solutions, but algorithms tailored to your business.
Not black-box models, but transparent models that explain the reasons for their decisions. Engineers and managers can understand the model's logic.
Models are updated as new data arrives. An analytics infrastructure that makes increasingly accurate predictions and grows with your organization.
ML models that drive critical business decisions with data across manufacturing, energy, logistics, and e-commerce sectors.
Predicts equipment failures weeks in advance by analyzing sensor data, machine logs, and environmental factors. Eliminates unplanned downtime.
Predicts product and raw material demand by learning seasonality, campaign effects, and market dynamics. Critical for inventory optimization and production planning.
Detects quality deviations before they occur by analyzing production parameters in real time and performing root cause analysis.
Detects abnormal patterns in financial transactions, energy consumption, or production data in real time. Critical for fraud and loss prevention.
Identifies customer segments by analyzing purchase behavior, lifetime value, and churn risk, and develops personalized strategies.
Generates dynamic pricing recommendations by combining competitive data, demand elasticity, and inventory status. Maximizes revenue and profitability.
Need a different model?
We also develop solutions for sector-specific analytics problems not on the list. Share your dataset and goals, let's evaluate together.
REQUEST A CUSTOM MODELEnart Enerji
Managing turbine material selection with data. Blade lifespan extended by 30%, maintenance cost reduced by 22%.
The model completely changed our energy procurement strategy by foreseeing consumption peaks in advance.View Our Case Study
Mine Colours
Defect rate reduced by 31% with FTR and FPY prediction models.
We now catch quality deviations on the production line before they occur — this is revolutionary for us.View Our Case Study
We jointly define your existing data sources, quality, and the business problem. We lay the foundation for a solvable ML problem.
We clean your raw data, fill in missing values, and transform it into a format the model can understand. Data quality determines model quality.
We select the most suitable algorithm for your problem, train your model, and optimize accuracy through multiple iterations.
We test the model in real business scenarios and report performance metrics (accuracy, precision, recall).
We integrate the model into your existing systems via ERP, MES, or API and set up the monitoring dashboard.
Share your dataset and business objective; we'll evaluate the suitable ML model approach and expected ROI for you free of charge.
Kızılırmak Mah. Dumlupınar Bulvarı Next Level No:3 A Kat:4 D.No:10 PK:06520 Çankaya / Ankara - Türkiye
Past experience and expert intuition
Patterns learned from millions of data points