We present a computational approach that autonomous software agents can adopt to make tactical decisions, such as product pricing, and strategic decisions, such as product mix and production planning, to maximize profit in markets with supply and demand uncertainties. Using a combination of...

In this paper, we present an agent-based simulation system that allows modeling the interactions between software buyers and vendors in a software market. The market offers Software-as-a-Service (SaaS) and perpetual software (PS) licenses under different pricing schemes. Four dynamic pricing...

In this paper, we present agent-based simulations that model the interactions between software buyers and vendors in a software market that offers Software-as-a-Service (SaaS) and perpetual software (PS) licensing under different pricing schemes. In particular, scenarios are simulated, in which...

Electronic commerce has enabled the use of intelligent agenttechnologies that can evaluate buyers, customize products, and price inreal-time. Our model of an electronic market with customizable productsanalyzes the pricing, profitability and welfare implications ofagent-based technologies that...

The use of automated algorithms allows online shops to change product prices at short notice, depending on various parameters; this type of price-setting is known as dynamic pricing. At present, roughly 10 000 online prices are collected each month by the German Federal Statistical Office (FSO)...

The static model of two sided markets proposed by Rochet and Tirole analyses optimal pricing of a monopolistic platform at the equilibrium point. Their framework implicitly assumes that for each prices set by the platform, the equilibrium number of users on each side will be unique. However,...

Emerging tracking data allow precise predictions of individuals' reservation values. However, firms are reluctant to conspicuously implement personalized pricing because of concerns about consumer and regulatory reprisals. This paper proposes and applies a method which disguises personalized...

A seller with commitment power sets prices over time. Risk-averse buyers arrive to the market and decide when to purchase. We obtain that the optimal price path is a "regular" price, with occasional episodes of sequential discounts that occur at random times. The optimal price path has the...

Competition in the German gasoline retail market is characterized by strong intraday price cycles. The cycles are described in the literature as corresponding to the well-known Edgeworth cycles. Cyclical pricing patterns are observable all over Germany and throughout the world. So far, research...