We examine the profitability of personalized pricing policies that are derived using different specifications of demand in a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models, including Bayesian hierarchical choice models, regularized...

We examine the profitability of personalized pricing policies that are derived using different specifications of demand in a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models, including Bayesian hierarchical choice models, regularized...

Despite evidence that consumers search across both stores (spatial) and time (temporal), the search literature models search in only one dimension. We develop a model of spatiotemporal search that nests a finite horizon model of spatial search within an infinite horizon model of inter-temporal...

The purpose of this paper is to investigate the impact of the use of Artificial Intelligence in retail on buying and consumer behavior, better understanding how consumers perceive Artificial Intelligence on the path to the Next Normal. The consumer-technology partnership is confirming the...