Choice-modeling software predicts customer preferences for retailers
Friday, July 10, 2015 - 06:10
in Mathematics & Economics
U.S. retail chains often rely on intuition in choosing which products, from a vast inventory, will sell best at stores across the nation. Now MIT spinout Celect is refining this process with novel data analytics, revealing interesting insights into how retailers can optimize their shelf space.