September 10, 2020 in Resoundingly Human
2020 Franz Edelman Award finalist Walmart
SHARE: PRINT ARTICLE:
https://doi.org/10.1287/orms.2020.05.04p
This work constitutes the first reported application of operations research to retail business strategy of a categorical agnostic system, which means that our system works for all different kinds of categories. So not only groceries, but all kinds of retail category items. Under this strategy items can be cleared before new items come, so the store assortment turns over much more frequently and the operating costs associated with it are much reduced.
This podcast is part of a series highlighting the finalist teams of the 2020 INFORMS Franz Edelman Award competition, to be held on September 29. Joining me for this episode are Yixian Chen, Senior Data Scientist and Prakhar Mehrotra, Senior Director of Machine Learning, both with Walmart Labs, to discuss Walmart’s finalist entry for the 2020 Franz Edelman Award.
Want to learn more? Check out the additional links and resources below for more information about what was discussed in this episode.
Learn more about the INFORMS Franz Edelman Award & Competition
Ashley Kilgore has more than a decade of experience in nonprofit communications and public relations, to include print, radio, video, and web. Contact Ashley Kilgore.