Competitive Intelligence and Margin Preservation Through Predictive Analytics: An AI-Driven Framework for Retail Pricing Strategy Optimisation

Authors

  • Haejin Kim Professor of Computer Science, Ulsan National Institute of Science and Technology (UNIST)

Keywords:

competitive intelligence, margin preservation, predictive analytics, an ai-driven framework, retail pricing strategy optimisation, machine learning

Abstract

Retail pricing strategies concern decisions regarding pricing levels, techniques, policies, and price adaptation. One common pricing policy in retailing is determining regular prices and subsequently incorporating price promotions using different formats or techniques. Several pricing models have analyzed how, when, and to what extent prices should be reduced by price promotions to attract and retain consumers.

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Published

30-06-2023

How to Cite

[1]
“Competitive Intelligence and Margin Preservation Through Predictive Analytics: An AI-Driven Framework for Retail Pricing Strategy Optimisation”, Blockchain Tech. & Distributed Sys., vol. 3, no. 1, pp. 57–68, Jun. 2023, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/841