AI in Retail: Using Neural Networks for Personalized Shopping Experiences

Abstract

In the competitive retail industry, providing personalized shopping experiences is crucial for increasing customer satisfaction, loyalty, and sales. Artificial Intelligence (AI), particularly through the use of neural networks, is playing a transformative role in achieving this by analyzing consumer data, predicting preferences, and offering tailored recommendations. This article explores how neural networks are being utilized in retail to enhance the customer journey, from personalized product recommendations to dynamic pricing and inventory management. It also highlights the challenges, benefits, and future directions of AI-powered personalization in retail.