Showing 1 - 7 of 7
We study the effects of the introduction of cross-channel functionalities on the overall sales dispersion of retailers and the implications of these effects for inventory management. To do that, we analyze data from a leading U.S. retailer who introduced a “ship-to-store” (STS) functionality...
Persistent link: https://www.econbiz.de/10013005947
Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, that is, units of good not available for sale. We derive an optimal polynomial‐time...
Persistent link: https://www.econbiz.de/10014141189
Persistent link: https://www.econbiz.de/10010381866
We use IoT-generated data on the real-time location of about 15 thousand displays in about 5 thousand stores of a Fortune 500 retailer, paired with the stores' POS data between September 2017 and March 2018, to measure the operational execution and effectiveness of promotional inventory display...
Persistent link: https://www.econbiz.de/10012838996
We study a model in which a monopoly firm designs the quality profile of its inventory and then dynamically updates its pricing menu for a finite selling horizon to maximize revenue. In a counterfactual scenario, a social planner goes through the same process to maximize total welfare. We show...
Persistent link: https://www.econbiz.de/10012935310
We propose a simple explanation for price rigidity in perishable groceries: inventory record inaccuracy (IRI). We build our argument in two steps. First, we tailor Gallego and Van Ryzin’s (1994) revenue management model to perishable groceries by adding an inventory waste process,...
Persistent link: https://www.econbiz.de/10013235858
Persistent link: https://www.econbiz.de/10012022633