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We study a problem of an online retailer who observes the unit sales of aproduct, and dynamically changes the retail price, in order to maximize theexpected revenue. Assuming the demand of the product is price sensitive, we areinterested in the optimal pricing policy when future demand is uncertain. Webuild a system to investigate the relationship between retail price and demandand estimate the demand function. The system predicts demand and revenue at agiven retail price. We formulate a revenue maximization problem over a discretefinite time horizon with discrete retail price. The optimal pricing policy issolved based on the predicted demand and revenue values. With computationalexperiments, we investigate the effect of optimal pricing policy to inventorymanagement.

Elasticity Based Demand Forecasting and Price Optimization for Online Retail