We examine grocery shopping paths through the lens of the Traveling We examine grocery shopping paths through the lens of the quot;Traveling Salesman Problemquot; (TSP), a classic paradigm from the field of operations research. We define the quot;TSP-optimalquot; path for each shopper as the...

We present analyses of an extraordinary new dataset that reveals the path taken by individual shoppers in an actual grocery store, as provided by RFID (radio frequency identification) tags located on their shopping carts. The analysis is performed using a multivariate clustering algorithm not...

As behavioral hypotheses about in-store decision making become more common in the marketing literature, there is a growing need for richer, more complete datasets in order to test them more carefully. We introduce a novel PathTrackerreg; dataset that captures consumers' in-store shopping...

Marketing researchers have become increasingly interested in spatial datasets. A main challenge of analyzing spatial data is that researchers must a priori choose the size and make-up of the areal units, hence the resolution of the analysis. Analyzing the data at a resolution that is too high...