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AI-Powered Electronic Shelf Labels: Enhancing Retail Efficiency

EasyChair Preprint no. 11086

7 pagesDate: October 12, 2023


The retail industry is undergoing a transformative shift, with technology playing a central role in enhancing operational efficiency and customer experiences. This abstract introduces the concept of AI-powered Electronic Shelf Labels (ESLs) as a key innovation that significantly improves retail operations. AI-powered ESLs, integrated with advanced artificial intelligence and machine learning algorithms, offer retailers a powerful tool to optimize pricing strategies, inventory management, and customer interactions. This abstract discusses the core benefits and applications of AI-powered ESLs in the retail context, emphasizing their capacity to streamline retail operations and drive sales growth. Dynamic Pricing, Inventory Management, Enhanced Customer Experience, and Labor Efficiency Furthermore, this abstract underscores the long-term potential of AI-powered ESLs in shaping the future of retail. As retailers increasingly adopt these technologies, they are poised to revolutionize pricing, inventory management, and customer interactions, ultimately ensuring that physical stores remain a vital part of the retail landscape in an increasingly digital world.

Keyphrases: Energy, ESL, IoT

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Deng Yipu and Fatima Tahir},
  title = {AI-Powered Electronic Shelf Labels: Enhancing Retail Efficiency},
  howpublished = {EasyChair Preprint no. 11086},

  year = {EasyChair, 2023}}
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