Bayesian Statistics and Causal Inference for SKU‑Level Pricing in E‑commerce

The article presents a comprehensive pricing solution for an e‑commerce platform that combines Bayesian statistical modeling, MCMC sampling, and causal inference (including Dragonnet) to achieve controllable, fine‑grained SKU‑level price estimation and optimization.

Bayesian statisticscausal inferencemachine learning

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Bayesian Statistics and Causal Inference for SKU‑Level Pricing in E‑commerce