v1.0.0 – E-Commerce Store Analysis (2023) | RFM + Customer Segmentation

Overview

This release delivers the finalized version of the E-Commerce Store Analysis (2023) project, covering end-to-end analytics from data cleaning and EDA to RFM-based customer segmentation and an executive-style Power BI dashboard.

What’s Included

Cleaned dataset and analysis notebooks (EDA + RFM + segmentation)

Power BI dashboard file (dashboard/E-commerce-Analysis.pbix)

Documentation and insights in README (EN + AR)

Key Highlights

RFM features (Recency, Frequency, Monetary) used to segment customers into actionable groups

Customer classification into value-based segments to support retention and targeting strategies

Dashboard includes desktop + mobile layouts (Power BI)

How to Run

Install dependencies: pandas, numpy, scikit-learn, matplotlib, seaborn, openpyxl

Run notebooks in /notebooks

Open the Power BI file in /dashboard