We study a problem of an online retailer who observes the unit sales of a product, and dynamically changes the retail price, in order to maximize the expected revenue. Assuming the demand of the product is price sensitive, we are interested in the optimal pricing policy when future demand is uncertain. We build a system to investigate the relationship between retail price and demand and estimate the demand function. The system predicts demand and revenue at a given retail price. We formulate a revenue maximization problem over a discrete finite time horizon with discrete retail price. The optimal pricing policy is solved based on the predicted demand and revenue values. With computational experiments, we investigate the effect of optimal pricing policy to inventory management.

翻译：我们研究一个在线零售商的问题,该零售商观察产品的单位销售情况,并动态地改变零售价格,以尽量扩大预期收入。假设产品的需求对价格敏感,我们感兴趣的是未来需求不确定时的最佳定价政策。我们建立一个系统,调查零售价格和需求之间的关系,并估计需求功能。该系统预测需求和收入以特定零售价格计算。我们提出收入最大化问题,解决的时间跨度不固定,零售价格离散。最佳定价政策是根据预测的需求和收入价值解决的。我们通过计算实验,调查最佳定价政策对库存管理的影响。