Revolutionizing eCommerce: AI-powered dynamic pricing strategies

Sahoo, Amaresha Prasad (2025) Revolutionizing eCommerce: AI-powered dynamic pricing strategies. World Journal of Advanced Research and Reviews, 26 (2). pp. 4194-4201. ISSN 2581-9615

Artificial Intelligence has revolutionized e-commerce pricing strategies by introducing sophisticated dynamic pricing mechanisms that adapt to market conditions in real-time. The integration of AI-driven systems enables retailers to optimize pricing decisions through advanced data processing, customer behavior analysis, and predictive modeling. These systems leverage machine learning algorithms to process market dynamics, competitor behavior, and customer preferences, resulting in enhanced profitability and market competitiveness. The implementation of AI in pricing has transformed traditional approaches through personalization, bundle optimization, and cross-sell recommendations, while emerging technologies like natural language processing, computer vision, and federated learning continue to advance the capabilities of these systems. The evolution of these AI-powered solutions has fundamentally changed how retailers approach market challenges, enabling real-time responses to changing consumer demands and market conditions. The integration of advanced analytics and machine learning has created a new paradigm in retail pricing, where data-driven decisions and automated optimization processes ensure maximum market effectiveness and customer satisfaction.