Year: 2025
Type: preprint
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.
DOI: 10.31224/5371
Author: Hira Ajmal
Institution: Lahore School of Economics
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4414201006
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