Problem definition: Observing the retail industry inevitably evolving into omnichannel, we study an offline-channel planning problem that helps an omnichannel retailer make store location and location-dependent assortment decisions in its offline channel to maximize profit across both online and...

Delivery time promising is critical to managing customer expectations and improving customer satisfaction. Simply over-promising or under-promising is undesirable due to their negative impacts on short-term/long-term sales. Notably, we are the first to develop a data-driven framework to predict...

We consider the problem of online pricing with offline data, where the decision maker has in hand pre-existed offline data and then takes online sequential actions to maximize expected cumulative revenue as well as learning the optimal pricing. We focus on a simple and specific problem setting...

Problem Definition: Content promotion policies are playing an increasingly important role in improving content consumption and user engagement for online content platforms. However, a frequently used promotion policy generally neglects employing the diffusion effect within a crowd of users. In...