In this paper, we study the problems of multiple-product demand prediction, predictive shipping mechanisms, and products allocation across multiple warehouses for large-scale e-commerce. These research problems are triggered by an exploratory data analysis on the transactional level data from...

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...

The rapidly developing online food delivery business is a novel “ecosystem” involving digital platforms, restaurants, delivery-workers, and customers. Continuous expansion of its market size is accompanied by problems of economic fairness such as “wage distribution” and “revenue...

The rapidly developing online food delivery business is a novel “ecosystem” involving digital platforms, restaurants, delivery-workers, and customers. Continuous expansion of its market size is accompanied by problems of economic fairness such as “wage distribution” and “revenue...

The rapidly developing online food delivery business is a novel “ecosystem” involving digital platforms, restaurants, delivery-workers, and customers. Continuous expansion of its market size is accompanied by problems of economic fairness such as “wage distribution” and “revenue...