Dynamic Pricing with a Prior on Market Response

نویسندگان

  • Vivek F. Farias
  • Benjamin Van Roy
چکیده

We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horizon. The vendor learns from purchase data, so his strategy must take into account the impact of price on both revenue and future observations. We focus on a model in which customers arrive according to a Poisson process of uncertain rate, each with an independent, identically distributed reservation price. Upon arrival, a customer purchases a unit of inventory if and only if his reservation price equals or exceeds the vendor’s prevailing price. We propose a simple heuristic approach to pricing in this context, which we refer to as decay balancing. Computational results demonstrate that decay balancing offers significant revenue gains over recently studied certainty equivalent and greedy heuristics. We also establish that changes in inventory and uncertainty in the arrival rate bear appropriate directional impacts on decay balancing prices in contrast to these alternatives, and we derive worst-case bounds on performance loss. We extend the three aforementioned heuristics to address a model involving multiple customer segments and stores and provide experimental results demonstrating similar relative merits in this context.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing

One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...

متن کامل

Agent-Based Modeling of Day-Ahead Real Time Pricing in a Pool-Based Electricity Market

In this paper, an agent-based structure of the electricity retail market is presented based on which day-ahead (DA) energy procurement for customers is modeled. Here, we focus on operation of only one Retail Energy Provider (REP) agent who purchases energy from DA pool-based wholesale market and offers DA real time tariffs to a group of its customers. As a model of customer response to the offe...

متن کامل

APPLICATION OF GAME THEORY IN DYNAMIC COMPETITIVE PRICING WITH ONE PRICE LEADER AND N DEPENDENT FOLLOWERS

 In this research UF cheese pricing is considered and Pegah, Pak, Kaleh, Rouzaneh and Mihan firms’ data, as five main UF cheese competitive firms of Iran in breakfast cheese competitive market, is used. By using these firm’s sales data, production data and price of each ton of UF cheese in nineteen work-periods (each work-period is 6 months), their sales equations are estimated for each work-pe...

متن کامل

Investigating the Sustainability of Asian, European and American Regional Gas Markets in Response to Currency and Crude Oil Price Shocks

In this study, we model the long-term and dynamic relationships between spot oil and exchange rates  and gas prices by applying the Markov switching vector self-regression model in three regional gas markets in USA, Europe and Asia. Price behavior is analyzed using Bayesian estimation to take into account the transition from an existing relationship and the delayed and recurring effects of pric...

متن کامل

Optimum Pricing Policy for Dynamic

In this paper we study the effect of dynamic behavior of the market on the optimum pricing policy for a revenue maximizing firm in a monopoly market. We show that the optimum pricing policy in the dynamic market can be very different from the static one, and the most important contributing factors for this difference are: consumer response time, planning period and the discount rate. Furt...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Operations Research

دوره 58  شماره 

صفحات  -

تاریخ انتشار 2010