Cognitive Shelves: the Intersection of AI and Electronic Labels in Retail

EasyChair Preprint 11087

Abstract

The retail industry has witnessed significant advancements in recent years, thanks to the convergence of Artificial Intelligence (AI) and electronic labels. This paper explores the concept of "Cognitive Shelves," an innovative approach to enhancing the in-store shopping experience. Cognitive Shelves combine AI technology with electronic labels to create a dynamic and data-driven shopping environment. This research delves into the key elements of Cognitive Shelves, including the integration of AI algorithms, electronic shelf labels (ESLs), and Internet of Things (IoT) devices. We discuss the various applications of this technology, such as real-time pricing updates, inventory management, and personalized customer experiences. As Cognitive Shelves become increasingly prevalent in the retail sector, it is essential to consider the ethical and privacy implications of this technology. This paper also discusses the concerns related to data security, consumer privacy, and the need for transparent data handling practices in the retail industry. In conclusion, the emergence of Cognitive Shelves represents a promising future for the retail industry, offering a blend of enhanced customer experiences, improved operational efficiency, and data-driven decision-making.

Keyphrases: ESL, IoT, Rail System

@booklet{EasyChair:11087,
  author    = {Fatima Tahir},
  title     = {Cognitive Shelves: the Intersection of AI and Electronic Labels in Retail},
  howpublished = {EasyChair Preprint 11087},
  year      = {EasyChair, 2023}}