Over the course of a repeated game, players often exhibit some degree of learning in selecting their best response. Research in economics and marketing has identified two key types of learning rules: belief and reinforcement. It has been shown that players use either one of the these learning...

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...

This research models the dynamics of customer relationships using typical transaction data. Our proposed model permits not only capturing the dynamics of customer relationships but also incorporating the effect of the sequence of customer-firm encounters on the dynamics of customer relationships...

An important challenge for many firms is to identify the life transitions of its customers, such as job searching, being pregnant, or purchasing a home. Inferring such transitions, which are generally unobserved to the firm, can offer the firm opportunities to be more relevant to its customers....