International Journal of Scientific Research and Engineering Development

Dynamic pricing strategies are vital for eCommerce, enabling revenue maximization by adapting to consumer behavior. These strategies depend on precise demand forecasting models that incorporate factors such as price elasticity and competitor pricing to support optimal decision-making. Accurate demand forecasting significantly improves the effectiveness of dynamic pricing, enhancing revenue and competitive standing. Customer demand modeling is essential for refining dynamic pricing strategies in e-commerce, allowing businesses to adapt to market changes. Robust demand models improve pricing accuracy, enhance customer satisfaction, and drive revenue growth in the competitive e-commerce sector. Organizations must utilize advanced analytical methods and machine learning to enhance predictions of consumer behavior and preferences.