A semi-synthetic augmentation creates the CAF-7M dataset and demonstrates that improved context data enables multimodal models to outperform unimodal baselines in context-aided forecasting.
Notably, there are periods of zero sales, which could be due to various factors such as inventory management, supplier issues, or changes in demand
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Overcoming the Modality Gap in Context-Aided Forecasting
A semi-synthetic augmentation creates the CAF-7M dataset and demonstrates that improved context data enables multimodal models to outperform unimodal baselines in context-aided forecasting.