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What is Causal Forecasting Methods for Pricing about?

This paper proposes a novel causal forecasting method for demand prediction in pricing contexts. The method combines double machine learning for causal inference with transformer models for forecasting. Experiments on synthetic and real-world retail data show the method outperforms standard forecasting when prices change, while performing similarly otherwise.

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monitor.whatsapp.quaest

Language

EN