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RFM analysis and clustering case study with Python GUI

Vivian Siahaan ★ 3.5/5 · ItemOracle Score Mid-Range

$40 USD
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RFM ANALYSIS AND K-MEANS CLUSTERING: A CASE STUDY ANALYSIS, CLUSTERING, AND PREDICTION ON RETAIL STORE TRANSACTIONS WITH PYTHON GUI

Case study on retail transactions using RFM analysis and k-means clustering with a Python GUI. Highlights practical insights for customer segmentation. Customer insight: none available

Highlights

  • RFM + k-means integration
  • retail transaction focus
  • GUI-based workflow

Pros

  • practical case study
  • integrates RFM analysis with clustering
  • python GUI workflow
  • clear data-driven insights

Cons

  • customer insights: None
  • limited rating depth

Best For

  • retail customer segmentation
  • transaction-based clustering
  • data-driven marketing strategy
  • retail analytics education
  • prototype for AI-assisted shopping
  • case-study evaluation

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