As the importance of online grocery shopping increases, both pure-play online grocers and multichannel grocers are likely to be interested in setting optimal prices for their online stores. We use a unique household scanner panel dataset to investigate how a grocery retailer with both online and...

We develop a new approach that integrates empirical estimation and assortment optimization to achieve display personalization for e-commerce platforms. We propose a two-stage Multinomial Logit (MNL) based consider-then-choose model, which accurately captures the two stages of a consumer's...