Offline dataset for pricing and inventory control

该数据集包含了历史价格、订单数量、库存水平、协变量以及用于估计最优定价和库存控制策略的截尾销售水平。此外，该数据集还为解决截尾和需求依赖背景下贝叶尔方程的两个新型数据驱动算法的开发提供了基础。任务目标是估算最优的定价和库存控制策略。

This dataset contains historical prices, order quantities, inventory levels, covariates, and censored sales levels that are utilized to estimate optimal pricing and inventory control strategies. Furthermore, this dataset provides a foundation for developing two novel data-driven algorithms designed to solve Bayesian equations under the context of censored and demand-dependent scenarios. The task goal is to estimate optimal pricing and inventory control strategies.