Leveraging AI-Enhanced Robotic Process Automation for Retail Pricing Optimization: A Comprehensive Analysis

Authors

  • Kamala Venigandla Masters in Computer Applications, Osmania University, Georgia, USA Author
  • Navya Vemuri Masters in Computer Science, Pace University, New York, USA Author
  • Naresh Thaneeru Masters in Computer Applications, Kakatiya University, Warangal, India Author
  • Venkata Manoj Tatikonda Masters in Computer Science, Silicon Valley University, California, USA Author

DOI:

https://doi.org/10.60087/jklst.vol2.n2.p370

Keywords:

Robotic Process, Automation, Retail Pricing, Optimization

Abstract

Pricing strategies are of paramount importance in the fiercely competitive retail sector, exerting a substantial influence on a company's financial performance and market standing. The amalgamation of artificial intelligence (AI) and robotic process automation (RPA) presents merchants with a potentially revolutionary opportunity to include and augment their pricing strategies via automation. The present research article investigates the field of AI-enhanced Robotic Process Automation (RPA) within the realm of retail pricing. It aims to analyses the impact of RPA on decision-making processes, operational efficiency, and overall organizational success. This research offers a thorough examination of pertinent scholarly works, empirical examples, and theoretical frameworks to investigate the advantages, challenges, and potential future trajectories associated with the utilization of artificial intelligence (AI) and robotic process automation (RPA) to augment pricing strategies in the retail sector.

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Published

2024-06-16

How to Cite

Venigandla, K., Vemuri, N., Thaneeru, N., & Tatikonda, V. M. (2024). Leveraging AI-Enhanced Robotic Process Automation for Retail Pricing Optimization: A Comprehensive Analysis. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(2), 361-370. https://doi.org/10.60087/jklst.vol2.n2.p370