Time-Series Forecasting
Robust forecasting (ARIMA, Prophet, deep learning) for sales, inventory and resource planning with uncertainty estimates and confidence intervals.
ForecastingTime-series
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Forecast demand, detect anomalies, and convert predictions into decisions — planning-ready forecasts and prescriptive analytics for operations.
Robust forecasting (ARIMA, Prophet, deep learning) for sales, inventory and resource planning with uncertainty estimates and confidence intervals.
Demand signals, seasonality adjustments and inventory optimization to minimize stockouts and reduce holding costs using probabilistic forecasts.
Predict customer churn, segment high-risk users and recommend targeted retention campaigns using explainable models and uplift analysis.
Real-time and batch anomaly detection for fraud, quality control and operational monitoring with alerting and root-cause signals.
Predictive models to estimate customer lifetime value and inform acquisition and personalization strategies with cohort analysis.
Prescriptive analytics and optimization (pricing, inventory allocation, scheduling) that translate forecasts into actionable decisions.