Time series forecasting with AutoML
With Automated Machine Learning, neither specialist knowledge nor feature engineering is required to train and execute machine learning models
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AutoML
Algorithms are automatically selected, parametrized and tuned for best performance based on your data
Time series algorithms
The platform incorporates advanced global probabilistic neural models for predicting time series
Confidence intervals
Measure and manage the uncertainty and variability of your operations using probabilities
Launches and closures
Inform when products or markets are launched or closed to improve the predictions
Known and unknown variables
Predictions can use data that is known in advance (e.g., prices, footprint, holidays) or unknown (e.g., transactions, NPS, footfall)
Upload data once and go
We use a normalized data model and take care of all joins and aggregations for you, so that you only need to upload data once
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