Forecasting systems

Time Series, Forecasting Systems and Predictive Analytics

Development of forecasting systems for customer churn and consumer behavior, prediction of equipment failures and load, sales conversion, demand and insurance claims, road traffic and accident prediction

Data analysis

Predictive analytics

Forecasting systems

Equipment failure prediction

Anomaly detection

Anomaly detection in data

The company specializes in developing forecasting systems for various industrial and commercial applications. Our expertise covers increasing mean time between failures (MTBF) for oilfield equipment, forecasting failures of locomotive traction motors and proactive shutdowns at petrochemical plants. Beyond these specialized areas, we also offer advanced business analytics solutions. Our experience extends to customer churn and sales conversion forecasting, helping our clients improve customer retention and sales efficiency. Thanks to our tailored approach, we can help develop personalized customer offers and loyalty programs aimed at increasing customer engagement. The team has extensive experience creating intuitive recommender and decision support systems that help enterprises make data-driven decisions.

Data analysis

  • Data clustering and segmentation
  • Selection of features that influence the result (feature selection)
  • Feature construction/generation (feature engineering)
  • Data visualization
  • Dimensionality reduction
  • Predictive analytics

Forecasting systems

  • Equipment failure prediction
  • Prediction of time to failure and breakdown
  • Sales conversion forecasting
  • Customer churn forecasting
  • Customized forecasting systems

Anomaly detection

  • Anomaly detection in data
  • Discovery of hidden patterns
  • Trend identification
  • Trend forecasting

Recommendations based on forecasts

  • Data-driven management
  • Decision support systems
  • Expert systems
Forecasting systems

Our cases

Order volume forecasting

Order volume forecasting

A system for forecasting the number of orders by product lines and cities, establishment category, planned delivery date and other factors

Order cooking time forecasting

Order cooking time forecasting

A system for forecasting order cooking time by product lines and cities, establishment category, planned delivery date and other factors

Customer churn forecasting

Customer churn forecasting

The system algorithms divide the entire customer base into clusters and identify customer segments most prone to churn