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Enhancing Electronic Shelf Label Accuracy for Optimal Retail Performance

EasyChair Preprint no. 11462

7 pagesDate: December 5, 2023


In the ever-evolving landscape of retail, technology plays a pivotal role in streamlining opera9ons and enhancing the overall customer experience. Electronic Shelf Labels (ESLs) have emerged as a cornerstone of digital transforma9on in retail stores, revolu9onizing the way prices and product informa9on are managed. However, ensuring the accuracy of ESLs remains a cri9cal challenge for retailers seeking to op9mize their opera9ons and build trust with consumers. This comprehensive research ar9cle delves into the various facets of ESL accuracy in retail stores, examining current challenges, technological solu9ons, and best prac9ces to improve ESL accuracy and, consequently, the overall retail performance.

Keyphrases: AI, Cloud, Customer-Centric Retail, dynamic pricing, ESL, IoT, price gouging

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sandeep Shekhawat},
  title = {Enhancing Electronic Shelf Label Accuracy for Optimal Retail Performance},
  howpublished = {EasyChair Preprint no. 11462},

  year = {EasyChair, 2023}}
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