AI-Infused Electronic Shelf Labels: a Retail Game-Changer

EasyChair Preprint 11085

Abstract

In the rapidly evolving landscape of the retail industry, the integration of artificial intelligence (AI) in Electronic Shelf Labels (ESLs) has emerged as a transformative game-changer. This abstract provides an overview of the revolutionary impact of AI-infused ESLs on retail operations, customer engagement, and overall business efficiency. AI-infused ESLs combine the power of AI technologies, including machine learning, computer vision, and data analytics, with the practicality of electronic shelf labels to create a dynamic and responsive retail environment. This abstract explores the key advantages and diverse applications of AI-infused ESLs, emphasizing their potential to redefine the retail sector. Dynamic Pricing Strategies, Inventory Optimization, Personalized Customer Experiences, and Operational Efficiency This abstract also touches on the AI algorithms and technologies underpinning these innovations, such as computer vision for product recognition and natural language processing for enhanced customer interactions.This abstract provides a glimpse into the vast potential of AI-infused ESLs, shedding light on their role as a disruptive force, enhancing retail efficiency, and delivering a highly personalized and engaging shopping experience for consumers.

Keyphrases: ESL, Energy, IoT

@booklet{EasyChair:11085,
  author    = {Lee Kasowaki},
  title     = {AI-Infused Electronic Shelf Labels: a Retail Game-Changer},
  howpublished = {EasyChair Preprint 11085},
  year      = {EasyChair, 2023}}