Development of a Customer Segmentation Machine Learning System
Data Science — 2025, Undergraduate
web applicationclusteringmachine learningcustomer segmentation
This study developed a customer segmentation machine learning system that groups customers using clustering algorithms and profiles each segment with visual summaries. The system scores new customers into segments automatically. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, FastAPI, and Scikit-learn. The findings showed that the system improved marketing targeting and reduced manual segmentation effort, while achieving a high System Usability Scale score. The study recommends adoption by SMEs and marketing teams.
For reference and learning only. Do not submit this work as your own.
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