Data Collection

Historical and time-based data from enterprise systems, sensors, and transaction records

Feature Engineering

Variable selection, transformation, pattern analysis

Model Development

Regression models, classification techniques, time-series forecasting methods, and neural networks designed, trained, and optimized by Oodles AI.

Validation & Testing

Cross-validation, A/B testing, accuracy metrics

Deployment & Monitoring

Batch and real-time prediction, performance monitoring, and periodic model retraining

Regression & Time Series Analysis

Linear and polynomial regression, ARIMA, Prophet, and LSTM models for trend analysis, demand forecasting, and continuous value predictions.

Classification & Clustering

Decision trees, random forests, gradient boosting, and neural networks for churn prediction, risk classification, and categorical outcome forecasting.

Anomaly Detection & Risk Scoring

Isolation forests, autoencoders, and statistical methods for fraud detection, risk assessment, and identifying unusual patterns in data.

Retail & E-Commerce

Demand forecasting, inventory level prediction, customer churn estimation, and price sensitivity modeling.

Financial Services

Credit risk prediction, fraud probability estimation, default forecasting, and risk scoring models.

Healthcare & Life Sciences

Patient readmission prediction, disease outbreak forecasting, and treatment outcome analysis.

Manufacturing & Supply Chain

Predictive maintenance, failure forecasting, quality defect prediction, and production demand estimation.