Artificial Intelligence in Retail Marketing: Optimizing Product Recommendations and Customer Engagement
Main Article Content
Abstract
Artificial Intelligence (AI) has revolutionized the retail marketing landscape by enabling businesses to optimize product recommendations and enhance customer engagement. One of the most effective AI methods in this domain is Collaborative Filtering, a machine learning technique that analyzes user behavior and preferences to generate personalized product recommendations. Leveraging tools like Amazon Personalize, retailers can deliver tailored shopping experiences, improve conversion rates, and foster customer loyalty. This approach combines advanced data analytics with real-time insights to predict consumer needs accurately and ensure seamless interactions. The integration of AI-powered solutions allows retailers to stay competitive by aligning offerings with customer preferences, thereby driving revenue growth and satisfaction.