In-store promotions are a highly effective marketing tool that can have a significant impact on revenue. In this research, we study the question of dynamic promotion planning in the face of Bounded-Memory Peak-End demand models. In order to determine promotion strategies, we establish that a...

Sales promotions are important in the fast-moving consumer goods (FMCG) industry due to the significant spending on promotions and the fact that a large proportion of FMCG products are sold on promotion. This paper considers the problem of planning sales promotions for a FMCG product in a...

Online advertising enables advertisers to reach customers with personalized ads. Advertisers need to determine the right targets for their ads and how much they are willing to pay to engage those targets. A large portion of online ads are priced using real-time auctions, thus advertisers need to...

The large growth of online advertising and the associated growth in personalized data allows advertisers to customize their advertisements for specific customers. In particular, advertisers can customize the product that is displayed in the ad as well as the creative look of the ad. We focus on...

In this paper we develop an approach to dynamic pricing that combines ideas from data-driven and robust optimization to address the uncertain and dynamic aspects of the problem. In our setting, a firm offers multiple products to be sold over a fixed discrete time horizon. Each product sold...

In this paper, we develop a model for the adoption of solar photovoltaic technology by residential consumers. In particular, we assume consumers purchase these solar panels according to a discrete choice model. The technology adoption process is reinforced by network externalities such as...