We propose a Hidden Markov Model (HMM) approach to identifying on-shelf out-of-stock (OOS) by detecting changes in sales patterns due to unobserved states of the shelf. We calibrate our model using point-of-sales (POS) data from a big-box retailer. We validate our approach using visual...

We study a dynamic assortment selection problem where arriving customers make purchase decisions among offered products from a universe of $N$ products under a Markov-chain-based choice (MCBC) model. The retailer observes only the assortment and the customer's single choice per period. Given...