patcha-ranat/Ecommerce-Invoice-End-to-end
End-to-end Data Project (DA/DS/DE/MLOps) - retail/e-commerce - interpretable dynamic clustering
This project provides a complete framework for e-commerce and retail businesses to understand their customer behavior. It takes raw transactional data, processes it, and then segments customers into meaningful groups, predicts future demand, and identifies product relationships. Retail strategists, marketers, and data analysts can use this to make informed decisions about customer engagement and inventory.
No commits in the last 6 months.
Use this if you are an e-commerce or retail business looking for a ready-to-implement solution to analyze customer data for segmentation, demand forecasting, and market basket analysis.
Not ideal if you are looking for a simple, single-purpose tool, as this project is a comprehensive, end-to-end data operation built for demonstrating a full data lifecycle.
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Last pushed
Jul 12, 2025
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