Decision-Aware Stochastic Consumption Forecasting

This project explores stochastic inventory forecasting under severe covariate scarcity using Poisson–Gamma mix model and a waste-constrained restocking policy. It demonstrates a principled Bayesian approach that reveals the limits of automated forecasting in nonstationary, human-driven consumption systems.

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