For retail businesses, understanding their customer base is critical for delivering effective marketing messages and improving engagement and sales. Traditional methods of customer segmentation, such as demographic data, are limited in their ability to provide a detailed understanding of customer behavior and preferences.

AI and machine learning (ML) can play a key role in improving customer segmentation and targeted marketing in retail businesses. By training an ML model on customer data from various sources, such as purchase history, browsing behavior, and social media activity, our solution can segment customers based on their behavior, preferences, and demographics. In addition, ML models can be used to deliver personalized marketing messages to each customer, improving engagement and sales.