AI for Recommending Products in E-commerce

By making product recommendations based on customer behaviour, preferences, and interactions, AI-based recommendation systems in e-commerce personalise the shopping experience. AI makes suggestions to specific users in real-time using methods including content-based filtering (matching products to user preferences), collaborative filtering (comparing people and products), and hybrid models. While NLP enhances the comprehension of search queries and the analysis of product reviews, deep learning aids in the discovery of intricate patterns in user data. AI also drives predictive analytics, cross-selling, and upselling, which enables companies to make relevant, targeted recommendations that improve customer happiness and generate revenue.