CLVAE embeds established attrition-transaction-spend customer models into a variational autoencoder framework to deliver flexible yet structurally grounded long-term revenue forecasts from sparse transaction data.
Penny WD (2001) KL-Divergences of Normal, Gamma, Dirichlet and Wishart Densities.Technical Note
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CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting
CLVAE embeds established attrition-transaction-spend customer models into a variational autoencoder framework to deliver flexible yet structurally grounded long-term revenue forecasts from sparse transaction data.