Machine Learning Models
Forecast with confidence—leverage advanced data science for adaptive and accurate sales predictions
Start with the best data sources
Analyze the data to determine performance drivers
Feature engineering, selection and model tuning enhance model accuracy
Ensemble modeling techniques provide confidence in your forecasts
Understand how your model arrived at your forecast
Improve your forecasting today
Key features
Smarter Forecasts
Use AI-powered models that outperform traditional forecasting methods for site selection
Market-Adaptive
Models “learn” and forecasts evolve as data changes, ensuring reliable predictions in changing conditions
Fast Turnaround
Proven modeling process that delivers results quickly without cutting corners or sacrificing accuracy
Model Transparency
Drill into forecasts to see which variables drive predictions, ensuring clarity and confidence in every result
Comprehensive Data
Thousands of site, trade area and market-level variables are evaluated by the modeling process for deeper insights
Ensemble Models
Developed by data scientists using a combination of the latest techniques to generate consensus-driven forecasts
Data Engineering
Extensive data engineering, analysis and feature selection result in more accurate, trusted models
Calibration & Tuning
Extensive model calibration ensures highly accurate forecasts—no overfitting, no guesswork