The increasingly dynamic nature of businessto-business electronic commerce has produced a recent shift away from fixed pricing and toward flexible pricing. Flexible pricing, as defined here, includes both differential pricing, in which different buyers may receive different prices based on expected valuations, and dynamic-pricing mechanisms, such as auctions, where prices and conditions are bas...

In the area of dynamic revenue management, optimal pricing policies are typically computed on the basis of an underlying demand rate model. From the perspective of applications, this approach implicitly assumes that the model is an accurate representation of the real world demand process and that the parameters characterizing this model can be accurately calibrated using data. In many situation...

The organization of this project report is as following: Section 2 is a literature review on various approaches of pricing options (mostly American options) with transactions costs; Section 3 describes the dynamic programming model developed by Dr. Edirisinghe as an efficient approach to study the option-pricing problem and discusses several extensions to the basic DP model; In Section 4, compu...

The competitors in the airline industry often rely on pricing strategy to capture more sales as a main mean of competition. Thus, dynamic pricing is often utilized to maximize profit while allowing better pricing against competition at the same time. In order for dynamic pricing to be effective, airline company has to take in consideration both internal and external information. Tactical pricin...

During the last decade, the stringent pressures from environmental and social requirements have spurred an interest in designing a reverse logistics network. In this paper, we address the problem of designing and planning a multi-echelon, multi-period, multicommodity and capacitated integrated forward/reverse logistics network. Returned products are categorized with respect to their quality lev...

Suppliers of tourist services continuously generate big data on ask prices. We suggest using this information, in the form a price index, to forecast occupation rates for virtually any time-space frame, provided that there are sufficient number decision makers “sharing” their pricing strategies web. Our approach guarantees great transparency and replicability, as from OTAs do not depend search ...

In E-commerce processes, various rules and constraints regarding product specifications, pricing, terms and conditions are exchanged between vendors and buyers. Developing a formal model for those rules and constraints gives a foundation for new E-commerce applications. Our approach is to develop a constraint database holding these conditions as dynamic constraints and provide a query language,...

Dynamic pricing is frequently used in online marketplaces, ticket sales, and booking systems. The commercial principles of dynamic systems are often kept secret; however, their application causes complex changes human behavior. Thus, a scientific tool needed to evaluate predict the impact strategies. Publications field lack common quality evaluation methodology, public data, source code, making...

We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing ...