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Supermarket Analytics Dashboard with Streamlit

In this project, I built an interactive Streamlit app to analyze supermarket sales data. The idea is simple: the store owner uploads a CSV or Excel file, and the app instantly shows useful insights.

Key features:

Sales Analysis: daily trends, top products, category-wise sales – all visualized.

Market Basket Analysis using Apriori & Association Rules for smart recommendations.

Customer Segmentation based on RFM (Recency, Frequency, Monetary) to identify loyal, new, or at-risk customers.

Interactive Visualizations: charts, graphs, and network diagrams.

Easy Export of results as CSV.

Supports custom data upload or sample data for testing.

The goal is to give the business owner a clear view of their sales and customer behavior to boost profits and spot new selling opportunities.

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