Transferable demand with unparalleled accuracy inspired by GANs

Borrowing ideas from Deep Learning methods, the Transferable demand model within HIVERY Curate is able to generate data from random noise (i.e. random numbers) to infer incrementality and demand transferability. This model has been inspired by a specific area of Deep Learning called Generative Adversarial Networks (GANs). The model is about to determine both transferability and incrementality impact of adding or removing SKU into a category at an unparalleled accuracy. It's the world’s first AI driven cannibalization model using this approach, and it drives HIVERY Curate's hyper local assortment optimization and recommendations. 

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