Abstract
In retail, an endcap is a display for products placed at the end of an aisle. An endcap is believed to give a brand a competitive advantage and is often leased at a premium price. This disclosure describes techniques to measure the effectiveness of retail endcaps by embedding internet-of-things (IoT) sensors, e.g., proximity sensors, within the endcap. Effectiveness is measured, for example, based on factors such as the amount of foot traffic, the amount of time customers dwell on the products displayed in the endcap, etc. Machine learning is used to discern customer behavioral patterns, such that the investment of the retailer in the endcaps is optimized.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Saha, Samrat; Delacey, Matthew; Vogelbacher, Rob; Vadivelu, Logan; and Peterson, Tom, "Measuring The Effectiveness Of Retail Endcaps Using IoT Sensors And Machine Learning", Technical Disclosure Commons, (October 04, 2019)
https://www.tdcommons.org/dpubs_series/2547