AI-Driven Customer Segmentation and Sales Forecasting for Enhanced Marketing Strategies

Abstract

In today’s competitive market, understanding customer behavior is essential for boosting sales and optimizing marketing strategies. This research introduces a machine learningbased approach that leverages customer data to create detailed profiles and predict sales performance. By utilizing clustering techniques and predictive models, the system identifies customer segments based on purchasing patterns and engagement levels. The proposed framework enhances decision-making by providing actionable insights for targeted marketing campaigns, ultimately improving customer retention and sales growth. Experimental results demonstrate the effectiveness of this approach in accurately forecasting customer actions and maximizing business revenue.