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SegmentSense: Uncovering Customer Segments -Customer Segmentation

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Detail Description

Abstract

SegmentSense is a machine learning-based customer segmentation system that groups customers based on purchasing behavior, demographics, and engagement patterns. By using clustering algorithms, businesses can identify distinct customer segments and design targeted marketing strategies to improve customer satisfaction and increase sales.


Existing System

  1. Manual customer grouping
  2. Basic demographic-based segmentation
  3. Spreadsheet analysis


Proposed System

  1. Uses ML clustering algorithms (K-Means, Hierarchical Clustering)
  2. Segments customers based on behavior, spending, and preferences
  3. Interactive dashboard for insights


Software Requirements

  1. Python
  2. Pandas, NumPy
  3. Scikit-learn
  4. Matplotlib / Seaborn
  5. Jupyter Notebook / VS Code
  6. Tableau / Power BI (optional visualization)


Hardware Requirements

Minimum:

  1. Intel i3, 4GB RAM

Recommended:

  1. Intel i5/i7, 8GB+ RAM





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SegmentSense: Uncovering Customer Segments -Customer Segmentation
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