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Adaptive Pricing Strategies: How AI-Powered Electronic Shelf Labels Are Changing the Game

EasyChair Preprint no. 11082

7 pagesDate: October 12, 2023


The retail industry is witnessing a profound shift, driven by the integration of Artificial Intelligence (AI) into Electronic Shelf Labels (ESLs) to adapt and thrive in an ever-evolving market. This abstract provides a comprehensive overview of the transformative potential of AI-powered ESLs, focusing on how they revolutionize pricing strategies, enhance operational efficiency, and improve the overall customer experience. AI-powered ESLs leverage advanced machine learning, computer vision, and data analytics to bring adaptive pricing strategies to life, enabling retailers to stay competitive and responsive. This abstract explores the practical applications and benefits of AI-powered ESLs, emphasizing their pivotal role in reshaping the retail landscape. Dynamic Pricing Agility, Inventory Optimization, Personalized Customer Engagement, and Operational Efficiency, This abstract also explores the AI technologies powering these innovations, such as computer vision for product recognition and natural language processing for enhanced customer interactions. This abstract provides insights into the practical implementation and impacts of AI-powered ESLs, showcasing their role in transforming pricing strategies, optimizing operations, and delivering unparalleled customer experiences in the dynamic and competitive retail sector.

Keyphrases: AI, ESL, IoT

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mark McMurtrey and Lee Kasowaki},
  title = {Adaptive Pricing Strategies: How AI-Powered Electronic Shelf Labels Are         Changing the Game},
  howpublished = {EasyChair Preprint no. 11082},

  year = {EasyChair, 2023}}
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