In today’s competitive retail landscape, delivering a personalized shopping experience is essential for building customer loyalty and increasing sales. Traditional methods of product recommendations, such as manual curation or rule-based systems, can be time-consuming and may not take into account all the factors that can influence a customer’s purchasing decisions.

AI and machine learning (ML) can play a key role in delivering personalized recommendations in retail businesses. By training an ML model on customer data, such as purchase history, browsing behavior, and search queries, our solution can recommend products that are tailored to each customer’s individual tastes. In addition, ML models can be used to adjust recommendations in real-time based on customer behavior and market trends, ensuring that retailers are always offering the most relevant and appealing products to their customers.