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CUSTOMER BEHAVIOUR ANALYSIS USING DATA MINING TECHNIQUES WITH AI-DRIVEN RECOMMENDATIONS
In today’s data-driven digital economy, understanding customer behavior has become a critical factor for business success. Organizations collect massive volumes of structured and unstructured data from multiple sources such as e-commerce platforms, social media, and transactional systems. However, extracting actionable insights from this data remains a challenging task. This paper presents a comprehensive approach for customer behavior analysis using advanced data mining techniques integrated with Artificial Intelligence (AI)-driven recommendation systems. The proposed system leverages clustering, classification, association rule mining, and deep learning models to identify patterns, segment customers, and predict their preferences. The system enhances personalization, improves customer satisfaction, and increases business profitability. Experimental results indicate that the proposed model significantly outperforms traditional systems in terms of accuracy, precision, recall, and F1-score.
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