End-to-end retail analytics pipeline: RFM segmentation, churn prediction, CLV forecasting, basket analysis & cohort retention — powered by Python, MySQL & Power BI.
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feat: add initial implementation of Consumer360 pipeline with data processing, staging, and analysis scripts
a8cf25dView on GitHubfeat: update cron script to use miniconda Python and add MySQL staging table creation script
66543efView on GitHubfeat: implement CSV loading and staging table creation for retail data
5b82ae1View on GitHubdocs: add comprehensive executive brief for Consumer360 project
44245f1View on GitHubdocs: enhance sample output section in README.md for rfm_segments.csv and cohort_retention.csv
bd01d0eView on GitHubdocs: add detailed descriptions and sample data for output CSV files in README.md
31572dbView on GitHubdocs: add sample output section to README.md with example from rfm_segments.csv
2c78abdView on GitHubchore: clean up empty code change sections in the changes log
8319dd4View on GitHub