• Belovedinla LG
• A.Revathi

This research aims to maximize profit by applying machine learning techniques for retail price optimization using historical data, consumer behavior, and market trends. The primary objective is to develop an intelligent pricing system that can dynamically adapt to changing market conditions, thereby increasing sales and productivity in the retail sector. Retail price optimization is the process of setting goods prices to maximize profit. The optimal pricing for a product is determined by examining market trends, consumer behavior, and historical data. This is referred to as machine learning-based retail price optimization. It The benefits of applying machine learning to retail price optimization include increased revenue and profit, increased flexibility, increased efficiency, and decreased risk.

Retail pricing, Optimization, Machine Learning, Market dynamics

"Enhancing Retail Price Optimization Strategies For Improved Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.g478-g481, March-2024, Available :http://www.jetir.org/papers/JETIR2403665.pdf

"Enhancing Retail Price Optimization Strategies For Improved Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppg478-g481, March-2024, Available at : http://www.jetir.org/papers/JETIR2403665.pdf