Research Article
Challenges and Opportunities for Embedded Computing in Retail Environments
@INPROCEEDINGS{10.1007/978-3-642-32778-0_10, author={Kunal Mankodiya and Rajeev Gandhi and Priya Narasimhan}, title={Challenges and Opportunities for Embedded Computing in Retail Environments}, proceedings={Sensor Systems and Software. Third International ICST Conference, S-Cube 2012, Lisbon, Portugal, June 4-5, 2012, Revised Selected Papers}, proceedings_a={S-CUBE}, year={2012}, month={10}, keywords={Retail operations planogram retail technology}, doi={10.1007/978-3-642-32778-0_10} }- Kunal Mankodiya
Rajeev Gandhi
Priya Narasimhan
Year: 2012
Challenges and Opportunities for Embedded Computing in Retail Environments
S-CUBE
Springer
DOI: 10.1007/978-3-642-32778-0_10
Abstract
In the retail industry, real-time product location tends to be a multi-million-dollar problem because of seasonal restocking, varying store layouts, personnel training, diversity of products, etc. Stores maintain planograms, which are detailed product-level maps of the store layout. Unfortunately, these planograms are obsolete by the time that they are constructed (because it takes weeks to get them right), thereby significantly diminishing their value to the store staff, to consumers, and to product manufacturers/suppliers. The AndyVision project at Carnegie Mellon focuses on the fundamental problem of real-time planogram construction and planogram integrity. This problem, if solved correctly, has the potential to transform the retail industry, both in the back-office operations and in the front-of-the-store consumer experience.
