Dynamic Pricing Under Self-Exciting Arrival Processes
成果类型:
Article
署名作者:
Yuan, Quan; Du, Longyuan; Hu, Ming
署名单位:
Zhejiang University; University of San Francisco; University of Toronto
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.2024.1172
发表日期:
2026
关键词:
demand
limit
POLICY
摘要:
We study dynamic pricing under a stochastic, nonlinear, self-exciting demand arrival process over a finite sales horizon. We adopt such a correlated demand process to capture the phenomenon that customers who have made a purchase can inform and excite future customers to arrive. Specifically, the stochastic arrival intensity is boosted immediately after any purchase and gradually decays between consecutive purchases. The arrival intensity is also affected by the market phase the seller operates in, a growth or saturation stage, which convexly or concavely shapes the number of new customers that can be stimulated by earlier buyers. We show that the optimal pricing policy depends on the current time and excitement level, which measures the currently accumulated influence that earlier buyers exert and is shown to be the only sufficient statistic for our problem. Over time, the seller tends to initially set a low price to attract early buyers, who can excite later arrivals, and later increase the price to maximize profits. Perhaps surprisingly, at a given time, the optimal price rises with the excitement level if the market is in a growth stage, whereas it drops with the excitement level if the market is in a saturation stage. Moreover, we show that adopting the optimal time-varying (open-loop) pricing policy obtained from the deterministic problem (without re-solving the problem) incurs only a constant performance loss relative to the optimal dynamic (i.e., contingent) pricing policy, which would not hold for the classic revenue management problem with a capacity constraint. Finally, we extend our analysis to account for discrete prices and multiple products in an assortment and make a connection between the self-exciting demand arrival process and the immigrationbirth process.