Neural Networks for Predictive Analytics in Retail and E-commerce

Abstract

The retail and e-commerce industries have witnessed a rapid transformation driven by the adoption of artificial intelligence, particularly neural networks. Predictive analytics powered by neural networks enable businesses to anticipate customer behavior, optimize inventory, personalize marketing strategies, and enhance the overall shopping experience. This article explores the role of neural networks in predictive analytics within retail and e-commerce, focusing on applications such as demand forecasting, recommendation systems, and customer segmentation. We discuss the challenges, opportunities, and future directions for integrating neural networks into retail and e-commerce analytics, and their potential to shape the future of these industries.