New Product Sales Forecasting
3 papers with code • 2 benchmarks • 2 datasets
Sales forecasting of new product, which the market hasn’t seen before.
Benchmarks
These leaderboards are used to track progress in New Product Sales Forecasting
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VISUELLE
VISUELLE2.0
Most implemented papers
Attention based Multi-Modal New Product Sales Time-series Forecasting
HumaticsLAB/AttentionBasedMultiModalRNN
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ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2020
Trend driven retail industries such as fashion, launch substantial new products every season.
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends
humaticslab/gtm-transformer
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In particular, we propose a neural network-based approach, where an encoder learns a representation of the exogenous time series, while the decoder forecasts the sales based on the Google Trends encoding and the available visual and metadata information.
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion
humaticslab/pop-mining-potential-performance
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We propose a data-centric pipeline able to generate exogenous observation data for the New Fashion Product Performance Forecasting (NFPPF) problem, i. e., predicting the performance of a brand-new clothing probe with no available past observations.
