VN2 Inventory Planning Challenge
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Test your inventory planning skills: cut holding costs, prevent shortages, and master real-world inventory planning.
Learn how to use MLForecast to leverage machine learning models for time series forecasting
A starter notebook to experiment with machine learning for time series forecasting. We use MLForecast to explore the different types of features we can build:
We also show how to run hyperparameter optimization to tune your model's hyperparameters and also select the best combination of features.
Finally, we show how to evaluate your model with cross-validation and with metrics specifically designed for inventory data, like cumulative forecast error (CFE) or product in stock (PIS).
Make sure to run “pip install mlforecast utilsforecast” to reproduce the results.
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