Measuring demand uncertainty is a key activity in supply chain planning. Of various methods ofestimating the standard deviation of demand, one that has been employed successfully in therecent literature uses dispersion among expertsacirc; forecasts. However, there has been limitedempirical...

This paper shows the benefits of high inventory turnover in responding to demand shocks. We identify quantity- and price-responsiveness as two mediating mechanisms that distinguish how high- and low-inventory-turnover retailers (HIT and LIT retailers, respectively) can manage demand shocks....

We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and schedule labor across all their...

To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from retailers, by testing this...

Our paper is motivated by a manufacturer that sells a single seasonal product through multiple retailers competing on an online marketplace, such as Amazon marketplace. Selling price uncertainty and evolution of forecasts of price and demand are key features of the online marketplace. Sourcing...